Will musicians ever be replaced by robots?

A Quora user asks whether artificial intelligence will ever replace human musicians. TL;DR No.

David Cope and Emily

If music composition and improvisation could be expressed as algorithmic rule sets, then human musicians would have reason for concern. Fortunately, music can’t be completely systematized, much as some music theorists would like to believe it can be. Music is not an internally consistent logical system like math or physics. It’s an evolved set of mostly arbitrary patterns of memes. This should be no surprise; music emerges from our consciousness, and our consciousness is an evolved system, not an algorithmic one. We can do algorithmic reasoning if we work really hard at it, but our minds are pretty chaotic and unpredictable, and it isn’t our strong suit. It’s a good thing, too; we may not be so hot at performing algorithms, but we’re good at inventing new possible ones. Computers are great at performing algorithms, but are lousy at inventing new ones. Continue reading

Internet blues

Recently, WNYC’s great music show Soundcheck held a contest to see who could do the best version of the 100 year old song “Yellow Dog Blues” by WC Handy.

Marc Weidenbaum had the members of the Disquiet Junto enter the contest en masse. I did my track, put it on SoundCloud, and promptly forgot all about it.

A month later, I was surprised and delighted to learn from Marc’s blog that the contest winner was Junto stalwart Westy Reflector.

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Fractal music

Continuing my series of posts on the ways that science might explain why we like the music we like. See also my posts on the science of rock harmony, harmony generally, and Afro-Cuban rhythms.

Quora user Marc Ettlinger recently sent me a paper by Sherri Novis-Livengood, Richard White, and Patrick CM Wong entitled Fractal complexity (1/f power law) determines the stability of music perception, emotion, and memory in a repeated exposure paradigm. (The paper isn’t on the open web, but here’s a poster-length version.) The authors think that fractals explain our music preferences. Specifically, they find that note durations, pitch intervals, phrase lengths and other quantifiable musical parameters tend to follow a power law distribution. Power-law distributions have the nifty property of scale invariance, meaning that patterns in such entities resemble themselves at different scales. Music is full of fractals, and the more fractal-filled it is, the more we like it.

Mandelbrot zoom

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Why is son clave so awesome?

One of the best discoveries I made while researching my thesis is the mathematician Godfried Toussaint. While the bookshelves groan with mathematical analyses of western harmony, Toussaint is the rare scholar who uses the same tools to understand Afro-Cuban rhythms. He’s especially interested in the rhythm known to Latin musicians as 3-2 son clave, to Ghanaians as the kpanlogo bell pattern, and to rock musicians as the Bo Diddley beat. Toussaint calls it “The Rhythm that Conquered the World” in his paper of the same name. Here it is as programmed by me on a drum machine:

The image behind the SoundCloud player is my preferred circular notation for son clave. Here are eight different more conventional representations as rendered by Toussaint:

Toussaint - visualizing son clave Continue reading

Can science make a better music theory?

My last post discussed how we should be deriving music theory from empirical observation of what people like using ethnomusicology. Another good strategy would be to derive music theory from observation of what’s going on between our ears. Daniel Shawcross Wilkerson has attempted just that in his essay, Harmony Explained: Progress Towards A Scientific Theory of Music. The essay has an endearingly old-timey subtitle:

The Major Scale, The Standard Chord Dictionary, and The Difference of Feeling Between The Major and Minor Triads Explained from the First Principles of Physics and Computation; The Theory of Helmholtz Shown To Be Incomplete and The Theory of Terhardt and Some Others Considered

Wilkerson begins with the observation that music theory books read like medical texts from the middle ages: “they contain unjustified superstition, non-reasoning, and funny symbols glorified by Latin phrases.” We can do better.

Standing waves on a string

Wilkerson proposes that we derive a theory of harmony from first principles drawn from our understanding of how the brain processes audio signals. We evolved to be able to detect sounds with natural harmonics, because those usually come from significant sources, like the throats of other animals. Musical harmony is our way of gratifying our harmonic-series detectors.

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Toward a better music theory

Update: a version of this post appeared on Slate.com.

I seem to have touched a nerve with my rant about the conventional teaching of music theory and how poorly it serves practicing musicians. I thought it would be a good idea to follow that up with some ideas for how to make music theory more useful and relevant. The goal of music theory should be to explain common practice music. I don’t mean “common practice” in its present pedagogical sense. I mean the musical practices that are most prevalent in a given time and place, like America in 2013. Rather than trying to identify a canonical body of works and a bounded set of rules defined by that canon, we should take an ethnomusicological approach. We should be asking: what is it that musicians are doing that sounds good? What patterns can we detect in the broad mass of music being made and enjoyed out there in the world?

I have my own set of ideas about what constitutes common practice music in America in 2013, but I also come with my set of biases and preferences. It would be better to have some hard data on what we all collectively think makes for valid music. Trevor de Clerq and David Temperley have bravely attempted to build just such a data set, at least within one specific area: the harmonic practices used in rock, as defined by Rolling Stone magazine’s list of the 500 Greatest Songs of All Time. Temperley and de Clerq transcribed the top 20 songs from each decade between 1950 and 2000. You can see the results in their paper, “A corpus analysis of rock harmony.” They also have a web site where you can download their raw data and analyze it yourself. The whole project is a masterpiece of descriptivist music theory, as opposed to the bad prescriptivist kind.

Jimi Hendrix, common practice musician

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Hereditary units in music

Another thought-provoking Quora question: Are there any hereditary units in music? The question details give some context:

In his blog post “The Music Genome Project is no such thing,” David Morrison makes an edifying distinction between a genotype and a phenotype. He also makes the bold statement “there are no hereditary units in music.” Is this true?

Morrison’s post is a valuable read, because it’s so precisely wrong as to be quite useful in clarifying your thinking.

Nas -

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Frank Ocean’s Real Love

Frank Ocean is the R&B singer of the moment. Does he merit all they hype? There’s no doubt but that the man can sing. I first heard him in Jay-Z and Kanye West’s tremendous “No Church In The Wild,” which owes a lot of its intensity to Ocean’s vocals. He’s been releasing some good mixtapes too. Some of his sudden fame is also due to his implicit coming-out moment, a remarkable Tumblr post talking openly about his feelings for another man. In a world where Jay-Z’s voicing ambiguous support for gay marriage is headline news, Ocean’s open love letter is bold indeed.

The online Frank Ocean buzz reached such a pitch that I finally took the plunge on his first major-label release, Channel Orange. It’s the first full album of new music I’ve bought since The Archandroid by Janelle Monáe. Does it merit the hype? I don’t know yet. I think so. It’s strange and idiosyncratic. Some of it is boilerplate R&B, some of it is wildly experimental, Most falls somewhere in between. One song that jumps out at me is “Super Rich Kids,” featuring the utterly affectless rapping of Earl Sweatshirt.

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My NPR debut

On Tuesday, July 17, I appeared on the Colin McEnroe Show on Connecticut Public Radio to talk about my pet topic, remixes and mashups. The great DJ Earworm was on the show too, which I was totally geeked out about. You can stream or download the show here. Or listen to my remix of it:

My friend Jesse had a lot to say about the discussion on the program. Read his response (and my response to his response.)

At NY NPR HQ

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