Music Dara O Briain's Science Club


Music

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THEY SING

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Lovely, isn't it? Very, very beautiful, you know.

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Stirs the heart. I mean, they're just warming up.

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It's actually not a tune or anything,

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so I suppose it's not music, but it's musical, so maybe that is...

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And it creates an emotional response...

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I mean, music is a real puzzle. I mean, what is it exactly?

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We do like a puzzle here, don't we?

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I'm Dara O'Briain, welcome to Science Club.

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CHEERING AND APPLAUSE

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Yes, here, in Science Club, we take one topic

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and we explore it from a variety of different perspectives.

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Lighting up the dark, recesses of understanding.

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Again, we're joined by our curious audience and our illustrious guests,

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Acoustics expert Professor Trevor Cox, thank you very much.

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Music psychologist Dr Alexandra Lamont, thank you for coming in.

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Our reporters are here.

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Science reporter Alok Jha and Dr Tali Sharot

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and James May, you're with us later too, aren't you?

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-Absolutely, yes.

-Great, looking forward to seeing more about it.

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And materials scientist Professor Mark Miodownik will be doing some experiments.

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On the show tonight, we're looking at music.

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It's everywhere in our world.

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In fact, every human culture has music at its centre.

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But what is music? What is it so important to us?

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And how does it interact with our brains? On tonight's show...

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Dr Tali Sharot travels to the US to investigate a rhythm therapy

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that reveals a startling connection between hearing and movement.

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Journalist Alok Jha looks into music technology

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and asks whether computers are ruining music.

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And who knew, Top Gear's James May originally studied as a musician.

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Here, he discovers that his brain's response to music

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is stronger than he might have imagined.

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-So my brain is present.

-Oh, yeah.

-That's reassuring.

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-Beautiful.

-Thank you.

-This experiment apparently really worked.

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If you want to get involved in the show or follow us on Twitter,

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the details are on your screen.

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So first, let's meet this week's science gurus.

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Professor of Acoustic Engineering at the University of Salford

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and former President of the Institute of Acoustics, Professor Trevor Cox

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and Senior Lecturer in Music Psychology at Keele University,

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Dr Alexandra Lamont. Thank you very much.

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CHEERING AND APPLAUSE

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How are you? Thank you for coming in.

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Hi, how are you? Thank you for coming in.

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Can I ask you the straight question that I've already... It's going to run through the whole show.

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What is music?

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I'd say something that promotes some form of emotional response in the listener.

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But music can be loads of things. I went to see John Cage's Four Minutes, Thirty-three Seconds,

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-his famous silent work.

-You went to see an entirely silent work?

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I did indeed and my kid couldn't believe that I was spending ten quid to go and sit in silence.

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What? You spent money and sat in silence for four minutes and 33 seconds of complete silence.

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-And it was a great piece of music.

-Was it a good performance of it?

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LAUGHTER

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Have you seen it more than once?

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No, I've only seen it once

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and this was a particular arrangement for three pianists.

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-Oh...

-Yeah, it's much better than the solo version.

-Yes, I get that.

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But, psychologically, I mean, we've already gone straight to emotion,

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we skipped through the science entirely.

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Yeah, that's great, cos that's what I'm interested in.

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OK, fine. But still, you know, I mean,

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cos, an acoustic expert, we may regard you as reductionist to a certain extent,

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you may now go down to the waves and frequencies and all that.

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You're dealing with its effect on the brain...

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Yeah, I would have actually said music is organised sounds,

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so it's interesting you've come with the emotional explanation

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and I've come up with the more acoustic one.

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But I think music is something that makes us respond.

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Music is something that every human culture has

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and it doesn't matter how good we are at it, we can still respond to it.

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So I think it's an essential part of being human.

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By the way, does it exist in any animals at all?

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That's an interesting question. There's a bit of research on this showing...

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I mean, songs...you know, birds, for example, communicate through song.

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But most of that is strategic and symbolic and it's about messages.

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It's not for fun, it's not for pleasure.

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It's not for the enjoyment and the aesthetic evaluation of, yeah,

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it's a different kind of thing.

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So there are elements of non-human sounds that you could think of as being a little bit like music,

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-but they don't work like music does for humans.

-OK, fine.

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Well, we're going to explore these issues more as the show goes on.

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But even though there're maybe different opinions

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in terms of how we would define it,

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yes, it is a universal cultural trait common to all human societies

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and it has been for a very long time.

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How did music begin? No-one knows.

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But humans have been making music for a very long time.

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Perhaps even longer than we've had language.

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There is evidence of our caveman ancestors

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fashioning crude flutes from bear's femurs.

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And by 7,000 BC, in China,

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we find the first evidence of a melodic flute

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that could play a scale and carry a simple tune.

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Melodies are made by playing notes one after the other.

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Play two at the same time

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and you can make harmony -

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notes that sound good together.

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The story goes that it was Pythagoras

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who first worked out why this happens.

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Walking past a blacksmith's,

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he heard the ring of hammers hitting iron and did some quick sums.

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He reckoned whether the hammers sounded good or bad

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was down to maths -

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if one was half, two thirds or three-quarters

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the weight of the other.

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Which might be nonsense.

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But he was right that maths and harmony are closely related.

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Other great minds of science also studied sound and music.

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From Aristotle to Leonardo da Vinci and Galileo.

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None, however, are particularly noted for their musical prowess.

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By now, music had spread -

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from blacksmith's forges to medieval monasteries

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and then, into houses and courts,

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where Renaissance nobles danced to the latest sounds

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of the sackbut and crumhorn.

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By Beethoven's heyday,

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performances had gone from quartets and quintets

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to full-blown orchestras.

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Not only were there now trombones on top of the triangles and timpani.

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But the orchestra had outgrown private houses.

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And music was also going commercial.

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At the end of his life,

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all of Beethoven's symphonies were performed in public concert halls.

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Then, one morning in December 1877,

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Thomas Edison walked into an office and put a machine on the desk.

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He'd made the first device to record and play back sound -

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the phonograph.

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By introducing technology,

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he'd single-handedly kick-started the music industry we know today.

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Soon, musical records went on sale.

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And then, on Christmas Eve 1906, came the first radio broadcast,

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which included a festive Christmas carol.

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It was a humble start to music radio.

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Music no longer had to be performed live -

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you no longer needed an orchestra in your front room.

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Thanks to technology, music got smaller, cheaper and louder.

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The phonograph, the gramophone, the juke box, the LP,

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the Walkman, the CD, the minidisc player and the mp3

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have all brought music to our ears.

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Sadly, while technology might allow music to be widely available,

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it has no control over the quality of the music produced.

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By the way, just to briefly say, over the course of the series,

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we've had a lot of feedback from the audience

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about those animated histories,

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people are very fond of them.

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Stills are now downloadable as wallpaper for your computer

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if you just go to our website.

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Now, did we evolve music? Does it even have an evolutionary purpose?

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-Well, it's something we can debate. We don't know for sure.

-Yeah.

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It might be, for example, a sexual display.

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You know, your prowess at making music

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may make you a more favourable mate.

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And as a society, would we have bonded through music?

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I think that's one of the really powerful parts of music, that it brings people together.

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So the ability to be in time with somebody, to be in tune with somebody

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and to be getting into those sort of synchronised patterns.

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I think that's probably a very, very powerful aspect of it.

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Actually, if you look at early speech,

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when the mother talks to her baby,

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and comforts it or teaches it language,

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she'll often do it with a singsong while doing it,

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so I think it has helped to learning languages as well. So maybe that's the secret.

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Do you find, as an acoustic expert, do you find going to gigs

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and just being angry about how badly tuned...?

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THEY CHUCKLE

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I try and enjoy it.

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I went to the proms, actually, with a bunch of acoustic experts, auditorium acoustics,

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and they all came out whingeing about the acoustics

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and I came out saying, "That was a great gig." Cos I just enjoyed it.

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We were discussing various instruments.

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In terms of sounds that complement each other,

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and that's been a large part of how music has evolved.

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Yeah, I mean, it's also economically driven, you know.

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In the 20th century is about how many people can get in a concert hall

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and still have decent acoustics.

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When you get a classical orchestra, cos you need to make the orchestra economic.

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And some of the disasters of the early 20th century was trying to make the concert hall too big.

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Did it change again then, when we started electrifying instruments

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and putting big amps and...

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You should change your hall when you get electronic reproduction.

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One thing that a big decent concert hall has,

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it has lots of absorbance that you can bring out and deaden the space.

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Cos when you've actually got big loud speakers, electronic music,

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you don't want the...you want to deaden it as much as you want.

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So you end up with a very dead space,

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so you have to have verbal acoustics to deal with,

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concert halls deal with classical music,

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but also, with the electronic enhancement and the electronic reproduction.

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OK, so central to our elevation of music in our culture

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has been the discovery of our own ability to make different sounds,

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sounds that complement each other and can express emotion.

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Of course, we've come a long way from the bone flute we heard about

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to the instrument that's defined the last 60 years of music - the iconic electric guitar

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of Hendrix and Townshend and Richards.

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Many great artists have smashed up their guitar,

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but usually as a statement of rebellion.

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Mark Miodownik is taking one apart right now,

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but, this time, in the name of science.

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The Telecaster, as played by Keith Richards.

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The Les Paul, Jimmy Page,

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the Stratocaster, Jimi Hendrix,

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and let's not forget the Flying V, Nigel Tufnel from Spinal Tap.

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These guitars have defined the sound of rock and roll

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and turned their players into rock gods,

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and that's all down to the unique way they've been engineered.

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So, the first thing to realise about an electric guitar

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is that electricity comes out, it doesn't go in.

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So, with an acoustic guitar, when you ping one of these strings,

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you're creating a sound wave.

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That's what you hear, that's the note.

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With an electric guitar, it's slightly different.

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Although you hear the same kind of note,

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you're also creating an electrical oscillation,

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and that is the key to an electric guitar.

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'By connecting the guitar to an oscilloscope,

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'you can see the electricity that's produced.'

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So, that is...

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the electrical wave that we've created by pinging the string,

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and if I ping another string, I get a different frequency.

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Converting the sound wave into an electric wave

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means it can be amplified, manipulated and distorted.

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This flexibility turned the guitar into a revolutionary instrument.

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So, where does this electricity come from?

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It comes from this, the pickup.

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The pickup is magnetic.

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In the 1830s, the scientist Michael Faraday

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worked out how to use magnets to generate electricity.

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You just need a coil of wire and some wrist action.

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I'm just going to push the magnet through the coil of wire, like this.

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And doing that, I'm generating electricity.

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And that electricity is going through this little bulb and lights it up.

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There it is!

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It was almost exactly 100 years

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before Faraday's theories were applied to the guitar.

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But the principles at work are exactly the same,

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and to prove it, I'm taking this Fender Telecaster,

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the first mass-produced electric guitar, to bits.

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So, here it is.

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Some magnets surrounded by a coil of wire.

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This is what it looks like when you take away that stuff.

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Now, when the pickup is in the electric guitar,

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these steel strings vibrate above each one of these little magnets,

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and that disturbs the magnetic field, creating an electrical current.

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So, what this pickup is doing

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is turning a mechanical vibration into an electrical wave,

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and that electrical wave travels down these wires into the amp,

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and that's the sound you hear.

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ELECTRICAL BUZZING

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Now, I'm going to try and simulate that for you, with this magnet.

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SOFT ELECTRICAL BUZZING SOUND

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This affects the pickup's magnetic field,

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in the same way a vibrating steel string does.

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It's a bit bass-y, but that's because I can't vibrate it very fast.

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But it's a sound, nonetheless.

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That's quite cool!

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Because the vibration of a guitar string varies along its length,

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by having multiple pickups,

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you can generate a range of treble and bass sounds.

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And the amount you hear is controlled by these dials.

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But the electric signal generated by these pickups is tiny,

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and so, before it can be converted back into sound,

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it needs to be amplified.

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The amp is the unsung hero of the electric guitar.

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Without it, the electricity produced by the pickup

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is just too small to power a speaker.

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Some people would even go so far as to say

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that the amp is more important to the sound than the guitar itself.

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HE LAUGHS That's heavier than it looks!

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There's quite a few bits of gear here.

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These two here are capacitors,

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and they hold a huge amount of electric charge.

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I'm not going to take those apart,

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because that's actually seriously dangerous.

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But actually, this is what I want to take apart.

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This is the beating heart of the amp, the valve.

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Wait until you see these.

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They are beautiful.

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Vacuum tubes, thermionic electron tubes or, simply, valves,

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have been responsible for radio, TV, computers

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and, of course, rock and roll.

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The valve takes the tiny electrical current from the electric guitar

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and amplifies it into a much bigger current that can drive the speaker.

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In fact, the whole field of electronics only really began

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when valves like this were invented.

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Although valves look complicated, how they work is relatively simple.

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The amp gets its power from the mains,

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and sends a large current to the valves.

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The electricity goes for the cathode to the anode, but on the way,

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it has to go through this grid, which is connected to the electric guitar.

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Now, the tiny current from the pickup is what goes into that grid,

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so it imprints the pattern of the music onto this much larger current,

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and it's that that gives you the loud sound.

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Although valves have now mostly been replaced by transistors,

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they're still much-loved by musicians,

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for the unique tone and distortion they bring to the electric guitar,

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especially when you turn up the volume.

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APPLAUSE

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That's the kind of thing we'll get criticised for,

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because of people crying over your destruction

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of a perfectly good electric guitar. Did it go back together OK?

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-It went back together again in the end, yeah.

-It's fine.

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They're too expensive to destroy. The BBC budget is not that big.

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Well, it stretched to you smashing a valve with a hammer.

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We didn't put that back together.

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-Now, what the instrument is made of is very important?

-It is.

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I mean, for an electric guitar, it's less important,

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because you pick up the vibration of the string,

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and actually, where you change the note is through the amplifier,

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how you distort it through the amplifier.

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Whereas, with a violin, the amplifier is that box,

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and so, with the violin, you have to perfect that box to get the right sound.

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Give me an example of the weirdest thing

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you've seen an instrument made out of.

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Well, maybe a vegetable, which I used to do as a party trick.

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I've made a clarinet out of a giant Japanese radish once.

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LAUGHTER

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What kind of parties do you go to that have giant Japanese radish lying around?

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-Sushi parties, obviously!

-Well, obviously, yes!

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How was the sound of it?

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Well, someone once described it as sounding like a mating camel,

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so maybe not the best kind of sound...

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Yeah, but is that because you can't play, as it turns out, the flute?

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You're going to make an instrument for us this evening, am I right?

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-I am.

-Using what?

-Well...

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I've commissioned a machine to make it for us.

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-Is it our old friend...?

-Our favourite machine.

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The 3-D printer. The always impressive 3-D printer.

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-We'll have it by the end of the show?

-Yes, should do.

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Now, let me talk about another part of this, Alex,

0:16:480:16:51

about our ability to recognise music.

0:16:510:16:53

I mean, it is astonishing how well it's encoded in the brain,

0:16:530:16:58

pieces of music, how quickly we recognise music.

0:16:580:17:01

Yeah, the music that we know...

0:17:010:17:03

We can pick up on very, very short segments and recognise,

0:17:030:17:06

"That's that track, that piece, that particular thing..."

0:17:060:17:08

And do we do this better with music than we do with say,

0:17:080:17:11

recognising the first line of a novel?

0:17:110:17:13

Are we more efficient with the information with music?

0:17:130:17:15

I think we get more information with music.

0:17:150:17:17

I mean, the first sentence of a novel

0:17:170:17:19

doesn't tell you where it's going.

0:17:190:17:21

We're very good at going, "Oh, yeah, that's..."

0:17:210:17:23

You know that rush when everybody gets on the dance floor cos they've heard...

0:17:230:17:26

It doesn't take long to happen.

0:17:260:17:28

We can demonstrate this with an exciting new game,

0:17:280:17:30

which has never featured on television before,

0:17:300:17:32

where we play a series of very short intros to well-known tunes,

0:17:320:17:35

and see if our guests or, indeed, the audience, can name them.

0:17:350:17:39

I call this, "Name That Piece Of Music,"

0:17:390:17:41

but we're going to work on the title.

0:17:410:17:44

So, for example, let's have the first piece of music.

0:17:440:17:47

TWO SHORT BEATS PLAY

0:17:470:17:49

GROANING AND LAUGHTER

0:17:490:17:51

I think this really could work as a telly format.

0:17:530:17:56

LAUGHTER

0:17:560:17:57

I'm really excited by this. Go on, you on the couch.

0:17:570:18:00

I don't want to admit to knowing it, that's the thing...

0:18:000:18:02

-GROANING

-The artist in question is beyond reproach, all right? It's fine.

0:18:020:18:07

-Who is it?

-It was Lady Gaga, wasn't it?

-No!

0:18:070:18:10

-It's Kylie!

-GROANING AND LAUGHTER

0:18:100:18:13

-Oh, shame on you!

-It's Kylie!

-It's Kylie!

-Oh, Kylie!

0:18:130:18:16

What's the name of the track?

0:18:160:18:18

-That's difficult, actually.

-Yes! That's the thing.

0:18:180:18:20

I find I can't name tracks, there's too many.

0:18:200:18:22

Some people are better at this than others.

0:18:220:18:25

Yes, one that goes, "Na-na-na, na-na-na-na-na...

0:18:250:18:27

"Can't get you out of my head!"

0:18:270:18:29

Obviously, when we do this show properly, as a real format,

0:18:290:18:32

they'll tell the host what the names of the tunes are.

0:18:320:18:35

It works less well as a format if I am also trying to guess the tunes.

0:18:350:18:39

LAUGHTER

0:18:390:18:41

Fantastic! Let's try another one.

0:18:410:18:43

TWO BEATS PLAY

0:18:430:18:44

You can redeem yourself.

0:18:440:18:47

LAUGHTER

0:18:470:18:49

I can get it in my head, I can't think what the...

0:18:490:18:51

Do you know, I know that I don't know it.

0:18:510:18:53

-Oh, for Go...! We...

-LAUGHTER AND APPLAUSE

0:18:530:18:56

This is fantastic. This whole thing was to justify YOUR theory.

0:18:560:19:00

"Oh, yeah, it's amazing. The human brain, given the slightest..."

0:19:000:19:05

It's James Brown! It could be...

0:19:050:19:07

TWO BEATS PLAY

0:19:070:19:09

Oh, I need a bit more.

0:19:110:19:12

BEATS PLAY AGAIN

0:19:120:19:13

-That's Bowie, isn't it?

-Yes. Heroes.

0:19:130:19:17

Heroes...

0:19:170:19:18

-Yes, it is!

-Did I get it right?

-You got one right!

0:19:180:19:21

CHEERING AND APPLAUSE

0:19:210:19:24

Yes, we are very highly attuned to musical nuance,

0:19:290:19:31

and one of the things that is intrinsic to music is its rhythm.

0:19:310:19:34

Now, research into rhythm is turning up some extraordinary results.

0:19:340:19:37

Dr Tali Sharot went to the US to investigate.

0:19:370:19:41

DRUM BEAT PLAYS

0:19:410:19:43

Whenever you hear a beat, no matter how complex it is,

0:19:470:19:50

it probably makes you move.

0:19:500:19:51

Whether it's nodding your head or tapping your feet

0:19:510:19:54

or clicking your fingers,

0:19:540:19:55

you probably find it hard to resist.

0:19:550:19:57

'That's because our brains are wired for rhythm,

0:19:570:20:00

'so much so that rhythm has surprising therapeutic powers.'

0:20:000:20:03

'Rande Davis Gedalia was diagnosed with Parkinson's Disease in 2003.'

0:20:070:20:11

-Good to meet you.

-Nice to meet you.

0:20:120:20:14

'She had serious problems with her movement

0:20:140:20:17

'until she joined a pioneering New York music therapy programme.

0:20:170:20:20

'And it changed her life.'

0:20:200:20:22

It was hard to balance

0:20:220:20:25

and the music kept me on beat.

0:20:250:20:28

I walk to the beat. Before, I had no beat.

0:20:280:20:31

Now, it gives me a sense of rhythm, a sense of order,

0:20:310:20:35

so my movement is way better. It's way better. I love it.

0:20:350:20:39

Rande learnt to use music

0:20:390:20:42

from doctors here at the Beth Israel Hospital in the Bronx,

0:20:420:20:46

where they've been treating patients with music for more than 30 years.

0:20:460:20:51

Concetta Tomaino is one of their most experienced doctors.

0:20:510:20:54

Parkinson's can lead to a variety of movement problems,

0:20:560:21:00

from getting the shakes to completely freezing up.

0:21:000:21:02

This happens because Parkinson's patients

0:21:020:21:05

have lost a large number of nerve cells

0:21:050:21:07

that produce a neurotransmitter, dopamine,

0:21:070:21:09

and dopamine is critical for co-ordinating our movement.

0:21:090:21:13

LOW, BASIC DRUM BEAT

0:21:130:21:15

Strong rhythms help her patients move more fluidly

0:21:150:21:18

and, together, they work out a playlist

0:21:180:21:21

they can use in their daily lives.

0:21:210:21:23

Rhythm works incredibly well.

0:21:230:21:25

People with Parkinson's sometimes perceive rhythm differently,

0:21:250:21:28

so you really have to work with each individual

0:21:280:21:30

to find out what pulse or what tempo is going to work best for them.

0:21:300:21:34

It drives motor function almost immediately

0:21:340:21:36

and I've seen this time and time again.

0:21:360:21:39

When rhythm therapy works, the effects are immediate,

0:21:400:21:44

and that tells us something rather astonishing about our brains.

0:21:440:21:48

Jessica Grahn is a cognitive neuroscientist

0:21:490:21:52

who studies music and the brain.

0:21:520:21:55

She's arranged to put one of her students in a brain scanner

0:21:550:21:57

while she listens to music,

0:21:570:21:59

to show me what's going on inside our brains when we hear rhythm.

0:21:590:22:04

OK, Ruth, now we're going to move onto the rhythms...

0:22:040:22:07

The results are striking.

0:22:070:22:09

The auditory cortex is active, as you'd expect,

0:22:090:22:12

but so are the motor regions of the brain.

0:22:120:22:15

All of these areas are areas that tend to respond to the control or initiation of movement

0:22:150:22:22

and these are very responsive in her brain,

0:22:220:22:25

even though she's staying perfectly still.

0:22:250:22:27

That's quite amazing,

0:22:270:22:28

because we see very robust activity in all of these motor regions

0:22:280:22:32

when people are not moving at all,

0:22:320:22:34

and not consciously thinking about movement,

0:22:340:22:36

just listening to music.

0:22:360:22:38

Yeah, we were really surprised the first time we saw it, too.

0:22:380:22:41

So, what did these responses tell us about Parkinson's patients

0:22:410:22:45

and why music therapy is so helpful for their movement?

0:22:450:22:49

What we think might be going on with listening to music and rhythm

0:22:490:22:53

is that this can bypass the faulty part of the circuit

0:22:530:22:56

and allow Parkinson's patients to then stand up and move.

0:22:560:22:59

So the music goes straight into the motor cortex?

0:22:590:23:03

It looks like it, yeah.

0:23:030:23:04

It seems our auditory and motor cortex are so deeply connected

0:23:060:23:10

that rhythm alone really does get us moving.

0:23:100:23:12

But rhythm therapy wouldn't work at all

0:23:150:23:17

without a very special skill called beat induction.

0:23:170:23:21

It's the ability, once we've heard a rhythm, to predict the next beat.

0:23:220:23:27

Laurel Trainor is trying to find out if it's something we're born with or something we learn,

0:23:270:23:32

by measuring the brain waves of babies

0:23:320:23:34

while they listen to simple rhythms.

0:23:340:23:37

SLOW BEEPING

0:23:370:23:39

Early results suggest that babies have this ability,

0:23:390:23:42

which means it may be something we are born with.

0:23:420:23:45

So, the red colour here shows there's activity just before the beat?

0:23:470:23:51

-That's right.

-So, that shows us that they're predicting the beat...

0:23:510:23:55

Yes, absolutely.

0:23:550:23:57

Extraordinarily, beat induction seems to be unique to humans.

0:23:570:24:02

It hasn't been seen in any other primate.

0:24:020:24:05

So, what is the function of perceiving the beat,

0:24:050:24:08

and anticipating it, in humans?

0:24:080:24:11

There are probably two main reasons why we have it.

0:24:110:24:14

One is that when you can anticipate a beat,

0:24:140:24:17

you can dance with another person, you can move with another person.

0:24:170:24:20

When people move together, they bond socially.

0:24:200:24:24

A second reason why it's important

0:24:240:24:26

is because it's a necessary condition

0:24:260:24:28

for the evolution of language.

0:24:280:24:30

We have to hear the rhythm of the language,

0:24:300:24:32

but we also have to produce the rhythm of the language as we talk,

0:24:320:24:36

so we need this interaction between the auditory system and the motor system in order to do that.

0:24:360:24:41

As a neuroscientist,

0:24:430:24:44

I was really surprised by how close the connection is

0:24:440:24:48

between the sound system and our motor system,

0:24:480:24:50

but now that I think about it, it's all around us.

0:24:500:24:53

It's in my step when I walk, it's when I speak,

0:24:530:24:56

and it may just be fundamental to what makes us human.

0:24:560:25:00

APPLAUSE

0:25:020:25:05

In some ways, the results of that are astonishing,

0:25:090:25:12

and in other ways, they seem like the most obvious thing in the world.

0:25:120:25:14

We all listen to music as we walk along.

0:25:140:25:16

Since the Walkman, our generation has soundtracked ourselves,

0:25:160:25:19

knowing that it can increase the step...

0:25:190:25:21

But it literally is bypassing a damaged area of the brain?

0:25:210:25:25

Yeah, what's really interesting there

0:25:250:25:27

is that if you have one structure that's damaged,

0:25:270:25:30

or one pathway that's damaged,

0:25:300:25:32

and you lose a function, whether it's movement or language,

0:25:320:25:36

there might be a way to bypass it, by using a different trigger.

0:25:360:25:39

Alex, were you impressed by this kind of work?

0:25:390:25:42

Yeah, I think it's tapping into what we know

0:25:420:25:44

about the idea of synchronisation being really important in music

0:25:440:25:47

and somehow providing that in a different way.

0:25:470:25:49

And I like the approach of saying,

0:25:490:25:51

"OK, we have a limitation with Parkinson's.

0:25:510:25:53

"Let's try and find another way round."

0:25:530:25:55

So, yeah, finding something that is also intrinsically enjoyable,

0:25:550:25:59

and I think the idea of getting through pain

0:25:590:26:01

and getting through difficult situations with music

0:26:010:26:03

is one of the reasons why it's so useful for us.

0:26:030:26:05

Is this a uniquely human thing?

0:26:050:26:07

Interestingly, monkeys don't have the same musical abilities that we do,

0:26:070:26:11

which is interesting, because they are our closest genetic relatives.

0:26:110:26:15

But they can't do it.

0:26:150:26:16

They can't distinguish between different types of music.

0:26:160:26:19

They don't have music preference, like we do.

0:26:190:26:21

-They actually prefer silence to music.

-Really?

0:26:210:26:24

Yeah. Tamarins, particularly, have been shown to prefer...

0:26:240:26:27

If they're in a situation where they can choose where they go,

0:26:270:26:29

if there's some music playing and some place where there isn't music,

0:26:290:26:32

-they always go to the place without music.

-Lovely.

0:26:320:26:35

Now, I know we're bombarding you with lots of information,

0:26:350:26:37

but you can always get involved by following us @bbcscienceclub,

0:26:370:26:41

or by visiting our website...

0:26:410:26:42

APPLAUSE

0:26:490:26:52

So, we've seen some of the effect that music has on the brain,

0:26:530:26:57

but it's a physical process.

0:26:570:26:59

It's just a change in air pressure around us

0:26:590:27:01

that we hear arriving in waves.

0:27:010:27:02

And like any waves, there's a spectrum of frequencies.

0:27:020:27:05

Not that we can hear them all.

0:27:050:27:06

We can only hear a particular range, am I right?

0:27:060:27:09

-Exactly, yes.

-Do you know what the uppers and lowers of these are?

0:27:090:27:12

Well, it depends on your age.

0:27:120:27:13

-You lose certain frequencies as you get older?

-Yeah.

0:27:130:27:16

Basically, when you're 20, your hearing is as good as it ever gets,

0:27:160:27:19

and it's downhill from there, and you gradually lose high frequencies.

0:27:190:27:22

You don't notice that, probably, until you get into middle age,

0:27:220:27:25

when it starts just edging towards speech frequencies...

0:27:250:27:28

So, the higher frequencies are the ones that go first?

0:27:280:27:30

Let's get a sample of what we're talking about.

0:27:300:27:32

This is an app, by the way, that's been driving all this stuff.

0:27:320:27:35

LOW ELECTRONIC BEEP So, this is a note. Can everyone hear that?

0:27:350:27:39

-How many hertz is that?

-That's 1,000 hertz.

-OK.

0:27:390:27:43

Basically, if you can't hear this, there's a really big problem.

0:27:430:27:46

We're going to test you. That's 1,000 hertz.

0:27:460:27:48

All hands up if you can hear that. Now, that should be...

0:27:480:27:51

That's pretty much everyone here, including ourselves.

0:27:510:27:54

No, no, leave them up. Leave them up, please.

0:27:540:27:57

Right, 5,000.

0:27:570:27:58

HIGH-PITCHED BEEPING

0:27:580:28:00

-Everyone hear it? Fantastic. 10,000?

-Young crowd...

0:28:000:28:04

Right, who can hear that?

0:28:040:28:06

We haven't lost any hands at all. 13...

0:28:060:28:08

-I can't hear anything.

-Can't hear a thing.

0:28:100:28:12

Can the rest of you all hear that?

0:28:120:28:15

-That's amazing.

-It's really weird!

0:28:150:28:17

It's really strange. Right, let's try 15...

0:28:170:28:19

It's going to turn into a weird auction.

0:28:190:28:21

The winner is the person with the best ears.

0:28:210:28:24

Wow! Really?!

0:28:240:28:26

-Are you just doing this? Is it part of a gag?

-LAUGHTER

0:28:260:28:29

-OK, what are you up to now?

-This is 17,000.

0:28:290:28:32

Oh, we lost a few people at 17,000.

0:28:330:28:35

OK. No, we lost most people at 17,000.

0:28:350:28:37

You're still hearing it? Really faint? OK.

0:28:370:28:40

-Are you bluffing?

-Let's try 18...

0:28:400:28:42

-Is that everyone?

-There's one there in the front. Look!

0:28:450:28:48

Oh, you as well. You're still in.

0:28:480:28:50

Gone. We lost you somewhere between 18,000.

0:28:520:28:53

Well done you, though. Give her a round of applause, that's fantastic.

0:28:530:28:57

APPLAUSE

0:28:570:28:59

This phenomenon became very well-known, by the way,

0:28:590:29:01

because some company marketed an alarm

0:29:010:29:04

that shopkeepers could play outside their shops

0:29:040:29:07

to clear teenagers from in front of the shop,

0:29:070:29:10

because only teenagers could hear it.

0:29:100:29:12

My favourite thing about it is that the teenagers recorded the tone

0:29:120:29:15

and used it as a ringtone on their phone,

0:29:150:29:17

because teachers can't hear it in school.

0:29:170:29:19

So, they can actually phone each other in class,

0:29:190:29:21

which I think is genius.

0:29:210:29:23

So, that's the frequency. What are the physical effects?

0:29:230:29:26

I can show you a particularly nice example here,

0:29:260:29:29

where you can actually...

0:29:290:29:30

If we can find the resonant frequency of a wine glass... GLASS TINKLES

0:29:300:29:34

So, that's its resonant frequency.

0:29:340:29:35

That note is what you'd want to achieve, yeah?

0:29:350:29:37

If you then force it to vibrate at that frequency,

0:29:370:29:40

then it will vibrate so violently that it will break.

0:29:400:29:42

Fabulous. Great. I'm into that in a huge way.

0:29:420:29:44

In theory! I meant to say, in theory.

0:29:440:29:46

Yeah, no, let's just keep doing it until we get it to break.

0:29:460:29:50

Everyone ready? Do you have your fingers in your ears or something on?

0:29:500:29:53

By the way, this trick used to be done by opera singers, didn't it?

0:29:530:29:57

It's actually really difficult to do. To do it, you have to...

0:29:570:30:00

If I just nick it for a second...

0:30:000:30:02

You have to get it that close to your mouth.

0:30:020:30:04

As we shall see in a moment, when the glass goes...

0:30:040:30:06

glass in your mouth is a really stupid thing to do.

0:30:060:30:08

So, we know we're at the right frequency

0:30:080:30:10

if we get the piece of paper to vibrate?

0:30:100:30:12

Yeah, so that's going to vibrate the glass,

0:30:120:30:14

which will make the paper jump.

0:30:140:30:16

So, the minute the paper jumps, you just crank up the volume?

0:30:160:30:19

Right. OK, are you ready?

0:30:190:30:20

PITCH OF NOTE INCREASES

0:30:200:30:23

-How exact do you have to be here?

-Very exact.

0:30:230:30:27

-Can you see that going?

-I can, yeah. That is spooky.

0:30:270:30:30

HIGH-PITCHED BEEPING

0:30:300:30:33

It's quite loud.

0:30:330:30:34

I can even see it vibrating.

0:30:370:30:38

Oh! Oh, oh, oh!

0:30:440:30:47

LAUGHTER

0:30:470:30:49

APPLAUSE

0:30:490:30:52

Wow!

0:30:520:30:54

I'm loving the tension of the build-up.

0:30:560:30:58

You took a long enough to get there, didn't you? We have...

0:30:580:31:01

You did wrong with a proper high-speed camera.

0:31:010:31:03

So, our institute did one a few years ago with a slow-motion camera.

0:31:030:31:07

-This is it.

-Wow, it wobbles quite significantly.

0:31:070:31:10

Bottom bit goes first. How is the top bit holding together?

0:31:100:31:14

Yeah, that's incredible. That shows you just how fast the frame rate is.

0:31:140:31:17

-Imagine if that was near your mouth and was tumbling that way.

-Yeah.

0:31:190:31:24

-So, not recommended.

-No, but cool!

0:31:240:31:26

Hey, if any of your glassware smashed during that...tweet us.

0:31:270:31:31

LAUGHTER

0:31:310:31:33

As you're just brushing them around... No, hopefully it didn't.

0:31:330:31:36

I've always wanted to do that. Thank you very much, Mark.

0:31:360:31:39

APPLAUSE

0:31:390:31:42

Still to come on tonight's show,

0:31:430:31:45

Alok Jha investigates whether computers are killing music.

0:31:450:31:49

But first, the most remarkable thing about music

0:31:490:31:51

is how these wave forms and frequencies

0:31:510:31:53

are translated into tangible emotional effects by our brains.

0:31:530:31:56

To find out how a piece of music moves us,

0:31:560:31:58

we sent James May to have his head examined.

0:31:580:32:01

MUSIC: "Toccata and Fugue in D Minor" by Bach

0:32:010:32:04

Many years ago, I did a music degree

0:32:040:32:07

and I came away convinced of one thing,

0:32:070:32:10

that music has a real emotional grip on us that's hard to explain,

0:32:100:32:15

and I've always wanted to know why.

0:32:150:32:17

Why is it that a simple chord change in a pop song

0:32:180:32:21

can have the capacity almost to burst your heart?

0:32:210:32:24

Why is it that a single, supposedly wrong, note in Chopin

0:32:240:32:29

can turn mere organised sound

0:32:290:32:31

into something that seems to scratch at the very kernel

0:32:310:32:35

of human self awareness?

0:32:350:32:37

So, to see if science has an explanation, I've come to Berlin.

0:32:370:32:40

My first stop is the Technical University,

0:32:420:32:44

where Hauke Egermann is a music psychologist.

0:32:440:32:47

I haven't been allowed to bring any of my own music to this experiment.

0:32:490:32:53

Nothing that I love, nothing that I'm familiar with.

0:32:530:32:55

I have to listen to something I've never heard before,

0:32:550:32:58

and then we will measure my reaction to it.

0:32:580:33:01

Right, you want to attach electrodes to me?

0:33:010:33:03

Yes, please. Have a seat.

0:33:030:33:04

These clips and electrodes are going to monitor

0:33:040:33:08

changes in my skin's electrical conductivity.

0:33:080:33:11

Apparently, it's a scientific measure of involuntary emotional arousal.

0:33:110:33:17

So, when it starts playing, I want you to press the left mouse button

0:33:170:33:20

-and then continuously rate how the music makes you feel, OK?

-OK.

0:33:200:33:24

CLASSICAL PIECE BEGINS TO PLAY

0:33:240:33:28

This is composed by a Frenchman called Edgar Varese.

0:33:280:33:31

It's a bit strange, but I rather like it...

0:33:340:33:36

Is that the end?

0:33:450:33:47

-That's the end, yes.

-How did I do?

0:33:470:33:49

HAUKE LAUGHS

0:33:490:33:50

-Well, we'll see.

-Am I dead?

-You did fine.

0:33:500:33:53

We can see that there are actually some moments here

0:33:530:33:57

where, especially, your skin conductance response

0:33:570:34:01

is really reacting to individual events in the music.

0:34:010:34:05

This could be that something surprised you,

0:34:050:34:10

or you had an intense emotion linked to certain events in the music.

0:34:100:34:14

It seems all of us respond in roughly the same way

0:34:140:34:17

to acoustic changes in music.

0:34:170:34:20

But that doesn't explain why we respond emotionally.

0:34:200:34:23

When I put this to Hauke, he played me this...

0:34:230:34:26

MUSIC: "Symphony No.4 in A Major" by Mendelssohn

0:34:260:34:30

..and then these voices.

0:34:330:34:35

'I won the lottery, and I still can't believe it!'

0:34:350:34:38

'I've finally bought the car I've always dreamed about.'

0:34:380:34:41

That "da-deh-deh...", which I tend to think of as being

0:34:410:34:45

a sort of hunting, horse-riding motif in music

0:34:450:34:48

is also, actually, now you point it out, very similar to that

0:34:480:34:51

AMERICAN ACCENT: "Oh, my Gaaad!"

0:34:510:34:53

What you're sort of saying is,

0:34:530:34:55

major keys sound like people speaking positively and excitedly.

0:34:550:34:59

-That's the point.

-So, have you got a clip in a minor key

0:34:590:35:01

and then someone saying they've lost their lottery ticket?

0:35:010:35:04

Yes.

0:35:040:35:06

'It only took a moment for the accident to happen.

0:35:060:35:08

'We were laughing and joking about things

0:35:080:35:11

'when the truck crossed the median and hit us.'

0:35:110:35:13

Now, this gets very interesting now.

0:35:130:35:15

Had that been a German woman talking in German,

0:35:150:35:18

I would have still known she was talking about something sad.

0:35:180:35:21

The idea is that these expressive features,

0:35:210:35:24

they're supposed to work in different cultures

0:35:240:35:26

everywhere in the world.

0:35:260:35:27

But all of that was with music I didn't know.

0:35:270:35:30

Now, we're going to see how I react to music I know and love.

0:35:300:35:34

All right, James, let me lead you through our scanner room.

0:35:360:35:40

I'm going to have my brain scanned by music psychologist Stefan Koelsch.

0:35:400:35:45

Close your eyes, please...

0:35:450:35:46

To see just how deep my love of music really is,

0:35:460:35:49

I'm going to listen to my absolute favourite piece of Bach,

0:35:490:35:52

his toccata in G minor.

0:35:520:35:54

MUSIC: "Toccata in G Minor" by Bach

0:35:540:35:56

Are you feeling OK in there?

0:36:030:36:05

-'Yes, I am. Very relaxed.'

-Oh, right.

0:36:050:36:07

And for comparison,

0:36:070:36:09

music that I have absolutely no emotional attachment to...

0:36:090:36:13

Jedward's Lipstick.

0:36:130:36:14

# You say you're on it, but you just don't know

0:36:200:36:23

# You're spending money like you're on Death Row... #

0:36:230:36:26

HE LAUGHS Thank you for the Jedward.

0:36:260:36:28

'Time to find out what happened.'

0:36:280:36:30

So, my brain is present?

0:36:300:36:32

-Oh, yeah.

-That's reassuring.

0:36:320:36:34

Wow, look at this. Wow, beautiful.

0:36:340:36:36

-Thank you.

-This experiment apparently really worked.

0:36:360:36:39

Stefan's team have laid both my listening experiences

0:36:390:36:43

on top of each other.

0:36:430:36:44

Red is my response to Bach,

0:36:460:36:47

and Jedward is represented

0:36:470:36:49

by the practically non-existent blue.

0:36:490:36:51

Yeah, it's a very clear result here.

0:36:530:36:56

So, I've got Krakatoa of Bach reaction there,

0:36:560:36:59

but only a sort of faltering cigarette lighter for Jedward.

0:36:590:37:02

Is that fair?

0:37:020:37:04

Yeah, that's correct and that shows us

0:37:040:37:06

that you had much more pleasurable experience to your preferred music

0:37:060:37:10

than to the unpreferred.

0:37:100:37:12

And it seems the pleasure gets me

0:37:120:37:14

right in the deepest, most primitive parts of my brain,

0:37:140:37:17

the amygdala, the hippocampus,

0:37:170:37:20

and a reward centre called the nucleus accumbens.

0:37:200:37:23

This is the structure where dopamine is released in the brain.

0:37:230:37:28

And dopamine does...?

0:37:280:37:30

It is released in situations where we feel great pleasure.

0:37:300:37:35

For example, if we drink a glass of water when we are thirsty,

0:37:350:37:39

when we are having sex, when we eat something when we are hungry...

0:37:390:37:43

So, if you could put two people having sex in the scanner...

0:37:430:37:46

I know there isn't space,

0:37:460:37:47

but you would get the same bits of their brains glowing

0:37:470:37:51

as you do when they listen to music?

0:37:510:37:53

Which means music is, scientifically speaking, orgasmic.

0:37:530:37:57

-Yeah...

-And scientifically proved. Here it is.

-It is, yes.

0:37:570:38:00

APPLAUSE

0:38:030:38:05

Ladies and gentlemen, James May.

0:38:110:38:13

APPLAUSE

0:38:130:38:17

So, James, it turns out that at a very fundamental, basic level,

0:38:200:38:24

almost at a primitive level, you're a musical snob.

0:38:240:38:27

-Yes.

-What's your problem with Jedward?

0:38:270:38:29

Well, I don't have a particular problem with Jedward.

0:38:290:38:32

Well, I do, actually. It's the inevitability of the sort of...

0:38:320:38:35

HE IMITATES REPETITIVE BEAT

0:38:350:38:37

I know it will always go... HE IMITATES BEAT AGAIN

0:38:370:38:39

So, you can predict the rhythm, like a six-month-old child.

0:38:390:38:42

LAUGHTER

0:38:420:38:45

But it did prove something that I've always suspected,

0:38:450:38:47

which is that outside the sphere of regular musical appreciation,

0:38:470:38:52

which is sort of intellect, culture, experience, learning, all those things,

0:38:520:38:56

there's a sort of grey area where it appeals directly to the emotions,

0:38:560:39:01

this most widely documented

0:39:010:39:03

but, I think, least understood bit of the human existence.

0:39:030:39:07

And I found that very reassuring.

0:39:070:39:10

It does mean that the music that you get off on is a fundamental need,

0:39:100:39:15

along with eating, as you were saying, drinking,

0:39:150:39:19

orgasm, ejaculation... or a really good kebab.

0:39:190:39:21

LAUGHTER

0:39:210:39:24

This is the basic stuff of life, basically.

0:39:240:39:26

And one hell of a night, by the way!

0:39:260:39:28

LAUGHTER

0:39:280:39:31

But the order would have been slightly weird.

0:39:310:39:34

I mean, buy her dinner first, for God's sake(!)

0:39:340:39:37

It always ends with a kebab, Dara.

0:39:370:39:39

But, yes, it is, because it is very deep recesses of the brain.

0:39:390:39:42

This is very fundamental.

0:39:420:39:44

Some would say stuff that was there earliest in our evolution,

0:39:440:39:47

that music is appealing to.

0:39:470:39:49

Yes, which is probably why it's in every human culture

0:39:490:39:51

and why it's so important, because you can't explain it,

0:39:510:39:54

you can't express it terribly well.

0:39:540:39:55

And, like James says,

0:39:550:39:57

we're still really figuring out how this all works.

0:39:570:39:59

And we're more naturally likely to speak in a major key

0:39:590:40:02

when we're delivering happy news?

0:40:020:40:04

It depends what you're saying.

0:40:040:40:06

Speech is atonal, it doesn't fit into keys. That's a construct.

0:40:060:40:10

But, broadly speaking, you were in a major key there.

0:40:100:40:13

But we're simplifying it massively,

0:40:130:40:15

because music essentially in major key

0:40:150:40:17

will still move through minor keys as part of its musical dialogue,

0:40:170:40:21

as part of the sense that it makes,

0:40:210:40:22

and then you get contrasts and, you know,

0:40:220:40:24

"Oh, that was a pity, but, hey, never mind."

0:40:240:40:26

Of course, you're responsible for a great deal of "music as a motivational tool"

0:40:260:40:31

with the 18 and counting Top Gear Driving Music albums,

0:40:310:40:35

which have been released to date...

0:40:350:40:37

They were nothing to do with me, though.

0:40:370:40:39

But tracks like Don't Stop Me Now by Queen, I think,

0:40:390:40:41

was voted on some Top Gear website as the best...

0:40:410:40:44

Neurologically, what do you think you are achieving

0:40:440:40:46

with this body of work?

0:40:460:40:47

LAUGHTER

0:40:470:40:49

Umm...I don't know.

0:40:490:40:51

But driving music is an interesting idea,

0:40:510:40:53

because the rules are different in the car from the rest of life,

0:40:530:40:57

and that's bodily hygiene, opinions, music that you listen to,

0:40:570:41:01

all the rest of it. And it's...

0:41:010:41:03

..they're lower.

0:41:050:41:06

One thing is, you can't listen to, say,

0:41:060:41:08

Schubert's string quartet in the car, because most cars are too noisy.

0:41:080:41:12

The dynamic range of classical music is too great,

0:41:120:41:14

whereas pop music is reasonably level, for the most part.

0:41:140:41:18

Music with a regular beat, a regular form,

0:41:180:41:21

chorus, you know, refrain, middle eight, and all the rest of it,

0:41:210:41:24

suits the sort of slightly banal, but very involving, act of driving.

0:41:240:41:29

-Yes.

-Does that make sense?

-That makes perfect...

0:41:290:41:31

Put that on the liner notes on the sleeve of Top Gear 18.

0:41:310:41:36

You wouldn't put it like that.

0:41:360:41:38

You'd put, sort of, "25 gut-busting, tyre-smoking tracks."

0:41:380:41:40

LAUGHTER

0:41:400:41:42

That is kind of the shtick, all right. OK.

0:41:420:41:45

Do any of you own a top Gear album?

0:41:450:41:47

No. That's fine. The weird thing is...

0:41:490:41:51

Don't get all snooty. Don't you get all snooty!

0:41:510:41:54

Because you'll own the tracks, you'll definitely...

0:41:540:41:57

You'll own the most of those tracks in some shape or form,

0:41:570:41:59

because that's really the way it's evolved, because of technology.

0:41:590:42:02

Music was first recorded in 1877,

0:42:020:42:05

and the amount of music we have access to

0:42:050:42:07

has changed and grown dramatically, as you might have guessed.

0:42:070:42:10

Here's the data.

0:42:100:42:11

Technology has transformed the way we consume music.

0:42:130:42:17

In the 1980s, it's reckoned the average 16- to 24-year-old

0:42:170:42:20

had a record collection that consisted of 150 songs.

0:42:200:42:25

By 2009, that figure had grown to over 8,000 songs.

0:42:250:42:30

A vinyl LP plays for around 45 minutes and holds about 12 songs.

0:42:300:42:35

The C90 cassette tape holds 22 songs.

0:42:350:42:38

A CD plays 21 songs for about 80 minutes,

0:42:380:42:42

whereas a 160GB MP3 player can hold 40,000 songs,

0:42:420:42:48

that's 160,000 minutes,

0:42:480:42:50

almost 16 weeks of continuous play.

0:42:500:42:54

The MP3 player weighs 140 grammes.

0:42:540:42:57

If you were to carry around that amount of vinyl,

0:42:570:42:59

it would weigh 640kg,

0:42:590:43:01

which is the equivalent of carrying a large horse in your pocket.

0:43:010:43:05

APPLAUSE

0:43:070:43:09

Now, if we were to ask you who the most influential person was

0:43:090:43:12

in electronic music, you might have said Robert Moog,

0:43:120:43:15

for his synthesiser, or Brian Eno, or Kraftwerk,

0:43:150:43:17

or the Chemical Brothers, but none of these, really.

0:43:170:43:20

It's a woman called Daphne Oram,

0:43:200:43:22

who arrived at the BBC as a sound engineer in 1943,

0:43:220:43:25

and began to experiment with the effects that she could create

0:43:250:43:28

with the equipment there.

0:43:280:43:29

She then set up the first radiophonic workshop,

0:43:290:43:32

which basically initiated sound effects and electronic music,

0:43:320:43:36

and this was done almost as an after-hours hobby of hers.

0:43:360:43:39

In fact, she was regarded so strangely

0:43:390:43:41

that she actually appeared in a news story from 1962.

0:43:410:43:44

You should just see the scepticism of the reporter and, indeed,

0:43:440:43:47

the fantastically clipped Received Pronunciation.

0:43:470:43:50

Have a look at this.

0:43:500:43:52

ELECTRONIC BURBLING

0:43:520:43:54

Welcome to Tower Folly,

0:43:560:43:58

this lonely oast house on the North Downs of Kent.

0:43:580:44:02

Well, as far as I know, this house isn't haunted,

0:44:020:44:04

and there isn't a mad scientist in sight.

0:44:040:44:07

This is, in fact, a music factory,

0:44:070:44:09

where they can literally make music out of electronic sounds.

0:44:090:44:13

And the woman who makes it

0:44:130:44:15

has just been awarded a grant by the Gulbenkian Foundation

0:44:150:44:18

to help her research.

0:44:180:44:20

She's here at her control box, Miss Daphne Oram.

0:44:200:44:23

Now, Miss Oram, how did you get involved in this kind of work?

0:44:230:44:26

Well, it dates back, really, to 1944, I think,

0:44:260:44:29

when I read a book which prophesied that composers in the future

0:44:290:44:33

would compose directly into sound

0:44:330:44:35

instead of using orchestral instruments, you see.

0:44:350:44:38

Now, I've made a little loop of tape here

0:44:380:44:40

with varying pure tones on it, varying pitches.

0:44:400:44:42

Here we are.

0:44:420:44:44

ELECTRONIC BURBLING, BEEPING

0:44:440:44:48

Good night.

0:44:500:44:51

LAUGHTER

0:44:530:44:55

APPLAUSE

0:44:550:44:57

I'm sorry.

0:44:570:44:59

If for no other reason, enduring that face from a reporter...

0:45:010:45:05

but mainly, because of her, we have Daft Punk and Basement Jaxx

0:45:060:45:10

and Fat Boy Slim and a lot of people whose work I've really enjoyed.

0:45:100:45:13

I normally put my people on this wall here,

0:45:130:45:16

this sort of semi-wall of shame here.

0:45:160:45:18

I'm putting Daphne front and centre.

0:45:180:45:19

Well done, Daphne Oram, loving your work.

0:45:190:45:22

Who else would you like to add as an unsung scientist?

0:45:220:45:24

Well, I'd like to add Athanasius Kircher,

0:45:240:45:27

who was a 17th-century Jesuit scholar

0:45:270:45:29

who had the most fantastical acoustic devices,

0:45:290:45:31

some nice and some unpleasant.

0:45:310:45:33

His unpleasant one was the cat piano.

0:45:330:45:35

And this was a piano which...

0:45:350:45:37

You have a line of about seven cats in little cages

0:45:370:45:40

and when you press the keys for the piano,

0:45:400:45:42

-it drove a nail into the tail of the cats.

-Oh!

0:45:420:45:43

These screech and you play tunes on it.

0:45:430:45:46

But surely you can only play each note once, twice...?

0:45:460:45:48

At some stage, the cat's tail wouldn't take any more, surely?

0:45:480:45:51

Well, there's some doubt about whether it was ever made,

0:45:510:45:54

but it was done for psychiatric patients, was his idea.

0:45:540:45:56

It was meant to shock them out of their condition.

0:45:560:45:58

He did actually invent some nice things as well.

0:45:580:46:00

Very good. Who would you like to add, Alex?

0:46:000:46:02

Music psychology is a very new field, so this is a hard question,

0:46:020:46:05

but I decided I'd pick one of our living scientists...

0:46:050:46:08

Professor Alf Gabrielsson has spent his whole career

0:46:080:46:11

working on music and emotion.

0:46:110:46:13

He's retired now, but he worked in Sweden,

0:46:130:46:15

and he's got this enormous archive of people's emotional experiences with music.

0:46:150:46:18

-Fantastic. What's his name, again?

-Alf Gabrielsson.

0:46:180:46:21

-And this excellent man here...?

-Athanasius Kircher.

-Fabulous.

0:46:210:46:24

Well worked, Athanasius, with the cat piano.

0:46:240:46:26

OK. Has technology in music come too far?

0:46:260:46:29

Alok Jha asks if computers are ruining music.

0:46:290:46:33

Computers have been used to make music almost from their beginnings.

0:46:370:46:41

Synthesisers opened up a whole new world of instrumental sounds.

0:46:420:46:46

Sampling brought on the creative cross-fertilisation of genres.

0:46:500:46:54

Not even the human voice has escaped the influence of computers.

0:47:070:47:10

Thanks to automatic tuning,

0:47:100:47:12

you no longer have to be able to sing to record a flawless song.

0:47:120:47:17

Estelle Rubio is a singer-songwriter

0:47:190:47:22

who teaches studio production at the Tech Music School, London.

0:47:220:47:26

-Here it is.

-Wow!

0:47:270:47:29

I have to say, I was expecting a bigger mixing desk than that.

0:47:290:47:32

Well, this is the days of digital, you see.

0:47:320:47:34

'Can automatic tuning really turn a bad performer into a good one?

0:47:340:47:38

'To put it to the test, we need a bad performance.'

0:47:380:47:42

OUT OF TUNE: # Baa, baa, black sheep

0:47:420:47:44

# Have you any wool?

0:47:440:47:46

# Yes, sir, yes, sir,

0:47:460:47:48

# Three bags full... #

0:47:480:47:50

Surely THAT is beyond help.

0:47:500:47:52

# And one for the dame... #

0:47:520:47:53

So, what are we looking at here? We can see the notes I actually sang.

0:47:530:47:56

Yes. What we tend to do is go to the nearest note that you were singing.

0:47:560:47:59

So, "Baa, baa, BLACK..."

0:47:590:48:02

Let's just see.

0:48:030:48:04

RECORDING: # Baa, baa, black sheep... #

0:48:040:48:07

So, you're going through,

0:48:070:48:08

-and you're drawing lines where you want the pitch to be?

-Yes.

0:48:080:48:11

# Baa, baa, black sheep... #

0:48:110:48:13

Automatic tuning literally drags off-key singing back into line.

0:48:130:48:16

But does it just polish up something

0:48:160:48:18

that shouldn't have been recorded in the first place?

0:48:180:48:21

# Yes, sir, yes, sir

0:48:210:48:23

# Three bags... #

0:48:230:48:25

So, you can see now, you're sounding in-tune,

0:48:250:48:27

but in a way, we've lost the essence.

0:48:270:48:28

The quality... You've lost the quality of the voice.

0:48:280:48:31

Do you think that all of this editing and changing...

0:48:310:48:35

Do you think that's cheating a bit?

0:48:350:48:37

I still think there are great singers,

0:48:370:48:39

but why not let everybody have a chance to make music?

0:48:390:48:41

Music's about universal language, it's about sharing...

0:48:410:48:44

You know, why can't everybody have a go and play with their voice

0:48:440:48:47

and make themselves sound better than they are?

0:48:470:48:49

In studio recordings, computers are definitely here to stay.

0:48:510:48:55

But there's one area of music

0:48:550:48:57

that humans must be able to call their own - composition.

0:48:570:49:01

Can computers reach anywhere near the creative heights of composers?

0:49:010:49:05

Alexis Kirke is a research fellow

0:49:060:49:08

of the Interdisciplinary Centre for Computer Music Research at Plymouth University...

0:49:080:49:14

Basically, he makes computers make music.

0:49:140:49:16

COMPUTER PLAYS PIANO NOTES

0:49:160:49:18

This is a system that I have. I call it IPSIS.

0:49:180:49:21

It's a bunch of musical intelligences inside a computer

0:49:210:49:26

who sing to each other.

0:49:260:49:27

They sing each other very simple tunes,

0:49:270:49:30

but when they sing, they pick up each others' tunes.

0:49:300:49:34

So, the tunes that they have get bigger, bigger, and bigger

0:49:340:49:37

and turn into musical melodies.

0:49:370:49:40

Starting with just a single note fed into the computer,

0:49:400:49:43

the intelligences build up a tune together.

0:49:430:49:46

But do artificial intelligences singing to each other

0:49:470:49:50

actually sound any good?

0:49:500:49:51

Alexis has a composition called Ash.

0:49:520:49:56

COMPUTER PLAYS SIMPLE TUNE AS IF ON PIANO

0:49:560:49:59

So, if you close your eyes,

0:50:030:50:04

it's like a four-year-old playing piano...

0:50:040:50:07

-Yes.

-..learning how to play a piano.

0:50:070:50:09

Yes, it's very plodding...

0:50:090:50:12

Its very, kind of, precise in the rhythm.

0:50:120:50:14

No human would play this tune this way.

0:50:140:50:17

It might not sound like much,

0:50:170:50:19

but to write a pleasant melody from scratch,

0:50:190:50:22

computers have to draw on something they just don't have - feelings.

0:50:220:50:26

Alexis had to give his algorithms emotions,

0:50:260:50:28

but they also need another form of human behaviour.

0:50:280:50:31

As well as compose the music,

0:50:340:50:35

the system can perform the melodies in an expressive way.

0:50:350:50:38

So, there's kind of two layers to this,

0:50:380:50:41

there's a layer where it produces the notes,

0:50:410:50:44

and there's a layer where it takes those notes

0:50:440:50:46

and it tries to express them in a human way.

0:50:460:50:51

Although, at the moment, it hardly sets the pulse racing,

0:50:510:50:54

the potential for computer algorithms to replace human composers is huge.

0:50:540:51:00

I believe in maybe ten years, maybe that soon,

0:51:000:51:03

you will have many computers that can compose music

0:51:030:51:06

that 80% of us, we won't be able to tell the difference between that

0:51:060:51:09

and music composed by a human composer.

0:51:090:51:12

Computers are undoubtedly a democratising force in music,

0:51:130:51:17

taking the elitism out of composition and performance.

0:51:170:51:21

But music is, by nature, an artistic form of human expression,

0:51:210:51:25

so is there ultimately any point in taking ourselves out of the equation?

0:51:250:51:30

APPLAUSE

0:51:350:51:38

Alok, obviously, firstly, thank you so much singing on camera for us,

0:51:410:51:45

-which was brave...

-I played guitar too. I don't know where that went.

0:51:450:51:49

Well, judging by your singing, I can guess where it went.

0:51:490:51:52

Did you leave thinking that there was anything in this AI music?

0:51:520:51:56

Well, one key question for me is,

0:51:560:51:57

"Will any of this ever replace people?"

0:51:570:52:00

Whether it's composers or people performing.

0:52:000:52:03

And, I think, you know, when it comes to listening to music,

0:52:030:52:06

as you've discussed already, you kind of want to think

0:52:060:52:09

that someone has slaved away, either producing it, or playing it...

0:52:090:52:12

There's some emotion there that's a bits missing.

0:52:120:52:15

Now, you can programme computers to have some sort of emotions,

0:52:150:52:18

as Alexis Kirke has done...

0:52:180:52:20

and you can do a facsimile, but it always will be a bit of a facsimile.

0:52:200:52:24

-But that's what

-I

-think.

0:52:240:52:25

In 20 years, 30 years, if this stuff is all over the place

0:52:250:52:28

and we're hearing computer-made music and it moves us in the same way,

0:52:280:52:31

-then what's the difference?

-We can actually test it.

0:52:310:52:34

I mean, that was a fairly simple example there,

0:52:340:52:36

but we have two pieces of music that we're going to play for you now.

0:52:360:52:39

One of them is computer-generated, and one was written by a human.

0:52:390:52:42

The... We're not going to tell you which is which.

0:52:420:52:45

Let's play the first piece of music.

0:52:450:52:46

COURTLY TUNE PLAYS

0:52:460:52:49

And let's play the second piece of music...

0:52:570:52:59

VERY SIMILAR TUNE PLAYS

0:52:590:53:01

Now, we'll take a quick vote on that. You heard them both.

0:53:100:53:13

How many of you thought that the computer-written one

0:53:130:53:16

was the first piece of music?

0:53:160:53:18

I'm with you on that. I thought that was the one.

0:53:190:53:22

And then, how many of you thought that the second piece of music...?

0:53:220:53:26

The computer-written one was the second piece of music,

0:53:280:53:30

that's what you're going for?

0:53:300:53:32

OK. The majority, including our experts...

0:53:320:53:35

-You're wrong.

-LAUGHTER

0:53:350:53:37

Ah, but, it's not a fair call,

0:53:370:53:39

because that's a style of music that's very, very rule driven.

0:53:390:53:42

-Really?

-It's really easy to generate something according to rules.

0:53:420:53:45

By the way, the "computer-generated piece," as you thought,

0:53:450:53:47

that was actually by Bach, just so you know. Just to rub it in.

0:53:470:53:51

I actually knew that. That's why I didn't vote.

0:53:510:53:53

Because it was cheating.

0:53:530:53:54

To balance this debate slightly in favour of science,

0:53:540:53:57

we're going to introduce an artist who creates musical works

0:53:570:54:00

that simply wouldn't be possible without technology.

0:54:000:54:02

Please welcome Imogen Heap, ladies and gentlemen.

0:54:020:54:05

APPLAUSE

0:54:050:54:06

God love her!

0:54:060:54:08

How are you? Now...

0:54:090:54:10

I should say...

0:54:110:54:12

-..Grammy award-winning artist, Imogen Heap.

-That's right.

0:54:140:54:17

-And it was actually... The Grammy was in...

-Engineering.

0:54:170:54:21

..engineering, yeah.

0:54:210:54:22

So, you were already working very successfully

0:54:220:54:24

with the whole decks and bodies of equipment

0:54:240:54:26

-that people would normally have...

-Yes.

0:54:260:54:29

But you have a new system that you've actually pioneered yourself?

0:54:290:54:32

Yes.

0:54:320:54:33

In between touring and making albums,

0:54:330:54:36

I've been developing these with a team of people...

0:54:360:54:38

Just have a quick look here...

0:54:380:54:40

Within there, you've got gyroscopes, accelerometers...

0:54:400:54:44

What's the cabling here?

0:54:440:54:45

-This is the bend sensors.

-Bend sensors, so you can...

0:54:450:54:48

All of these motions, up, down, left, right...

0:54:480:54:52

And also, the stage, I'm mapping, using a Kinect.

0:54:520:54:55

-We're in a Kinect here?

-Yes.

0:54:550:54:56

Well, somebody's found a use for a Kinect,

0:54:560:54:58

rather than pretending to be rafting.

0:54:580:55:01

And then also, you can flick through different modes,

0:55:010:55:04

so you can record with it, you can feed in the sounds...

0:55:040:55:07

Yes. Shall I give you an example?

0:55:070:55:09

Yeah, I genuinely would love that. A full piece, or just a quick thing?

0:55:090:55:12

A quick thing. First of all, I'm just going to demo...

0:55:120:55:15

going now into playing...some notes.

0:55:150:55:17

NOTES TINKLE

0:55:170:55:19

And for those in the audience who can hear,

0:55:190:55:21

it's going to the right side and to the left side of the speakers.

0:55:210:55:26

And then I can also play a bass, if I wanted to. So...

0:55:260:55:30

BASS NOTES PLAY

0:55:300:55:32

So, I can change the filter, the kind of...filtering sounds,

0:55:320:55:37

and I can mix between two different types of sounds

0:55:370:55:40

as I move up and down the scale.

0:55:400:55:42

So, it's giving me lots more freedom. I can also take...

0:55:420:55:46

I can say, like...

0:55:460:55:48

"Dara O'Briain..."

0:55:480:55:49

HER SPEECH ECHOES AND DISTORTS

0:55:490:55:52

And I could, "La, la, la..."

0:55:550:55:57

SPEECH ECHOES

0:55:570:55:59

So, I can change the grain...speed

0:55:590:56:03

and I can again pan it to the left and the right

0:56:030:56:06

and then the volume is here.

0:56:060:56:07

But I can map anything to anything.

0:56:090:56:10

Wow. OK, well, we'd love to hear something.

0:56:100:56:13

Ladies and gentlemen, Imogen Heap.

0:56:130:56:15

APPLAUSE

0:56:150:56:17

SHE SINGS, SOUNDS ECHO AND DISTORT

0:56:170:56:22

TINKLING, THUMPING

0:56:390:56:42

SHE WAILS, SOUND ECHOES

0:56:470:56:50

ELECTRONIC BUZZING, OWL HOOTS

0:56:530:56:55

CHEERING AND APPLAUSE

0:56:550:56:58

So...

0:57:020:57:04

Obviously, that's only a short taste of Imogen's work.

0:57:040:57:07

You can go to her website to find more about her.

0:57:070:57:09

I'm sure she has a web presence herself.

0:57:090:57:11

It's worth seeing longer pieces to see what she achieves with that.

0:57:110:57:14

It's impressive stuff. It's very beautiful stuff.

0:57:140:57:17

Now, we were making a slightly less sophisticated instrument

0:57:170:57:19

with a 3-D printer. Mark, do you have it there?

0:57:190:57:22

-I do.

-Lovely. Wow, this is...

0:57:220:57:25

-Yes.

-Yeah...

0:57:250:57:26

This is, apparently... Oh, that's...

0:57:260:57:28

It's that. It's a whistle.

0:57:280:57:30

It's a penny whistle of some description. Fabulous. Great.

0:57:300:57:33

-Have a go.

-OK. Grand.

-It's not just an ordinary one.

0:57:330:57:36

HE BLOWS TUNELESSLY

0:57:360:57:38

Wow, yeah, it's not ordinary, is it? It's amazing(!)

0:57:400:57:43

It creates some of the most beautiful sounds we've ever had.

0:57:430:57:47

Wow, this is how we finish the music show?! With these notes?!

0:57:470:57:50

Thanks to all of my guests tonight,

0:57:500:57:52

to Alok Jha, Tali Sharot and Mark Miodownik, as ever.

0:57:520:57:55

Our special guest James May

0:57:550:57:57

and our science gurus Dr Alex Lamont and Professor Trevor Cox,

0:57:570:58:00

ladies and gentlemen.

0:58:000:58:01

APPLAUSE

0:58:010:58:04

And, of course, our thanks go to Imogen Heap.

0:58:080:58:11

Now, how to wrap this up?

0:58:110:58:13

Cos it's been an 8,000-year journey, to be honest, in terms of music.

0:58:130:58:17

We've seen the later stages of it here.

0:58:170:58:19

Musical instrument played with the hand alone,

0:58:190:58:21

the inside of James May's brain,

0:58:210:58:23

we've smashed glasses in the name of science,

0:58:230:58:25

so many great things.

0:58:250:58:27

But what will stay with me is the fact that this journey started

0:58:270:58:30

with a flute made out of bones from a mammoth,

0:58:300:58:34

and 8,000 years later,

0:58:340:58:37

-we've made this...

-HE BLOWS TUNELESSLY

0:58:370:58:39

That is as far as it's gone, ladies and gentlemen.

0:58:390:58:42

We should be very, deeply impressed by that.

0:58:420:58:44

Have a wonderful New Year. We'll see you again. Good night.

0:58:440:58:47

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0:59:080:59:12

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