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Deep Learning Techniques for Music Generation – A Survey

arxiv.org

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Re: Deep Learning Techniques for Music Generation – A Survey

#11

Post by dwringer »

itsgreene wrote: post #10
SubiculumCode wrote: post #4

Earlier quoted context omitted.

Shall I refine the question then? Would Beethoven, Chopin, or the Beatles be happy if a computer churned out equivalent masterpieces?

The best answer I've heard to this and your previous question was at a QandA with Dr. Daniel J. Levitin. His answer was to a question "Is there any music that can make everyone upset or unhappy?" His answer was that in all his research the only music that can make someone upset or unhappy, was music the listener didn't like. It's 100 percent listener preference. The same was true for music a person did like. Unfortun…

I wonder how relevant this perspective is to the discussion going on at [1]. Particularly, I am curious how people interpret the notion that a deep learning system could predict a person's musical preferences by their facial features.

[1] https://news.ycombinator.com/item?id=15219906

Re: Deep Learning Techniques for Music Generation – A Survey

#13

Post by tw1010 »

SubiculumCode wrote: post #4
jeffehobbs wrote: post #3

Earlier quoted context omitted.

Some of us, yes, some of us, no?

Shall I refine the question then? Would Beethoven, Chopin, or the Beatles be happy if a computer churned out equivalent masterpieces?

That's not refining the question, that's completely redefining it.

Re: Deep Learning Techniques for Music Generation – A Survey

#14

Post by stevehiehn »

SubiculumCode wrote: post #2

Would a computer endlessly churning out music on par with Beethoven, Chopin, and the Beatles make us happier as humans?

Maybe its not going to be about completely copying artists. Just attributes from them. What if training the models becomes the art form itself and datasets are the building blocks you use to compose with. Imagine 'composing' models by selecting the training sets. Example: train with the rhythm style of James Brown & the tonalharmony of 50% Bach & 50% Miles Davis.

Re: Deep Learning Techniques for Music Generation – A Survey

#15

Post by jradd »

dwringer wrote: post #11
itsgreene wrote: post #10

Earlier quoted context omitted.

The best answer I've heard to this and your previous question was at a QandA with Dr. Daniel J. Levitin. His answer was to a question "Is there any music that can make everyone upset or unhappy?" His answer was that in all his research the only music that can make someone upset or unhappy, was music the listener didn't like. It's 100 percent listener preference. The same was true for music a person did like. Unfortun…

I wonder how relevant this perspective is to the discussion going on at [1]. Particularly, I am curious how people interpret the notion that a deep learning system could predict a person's musical preferences by their facial features. [1] https://news.ycombinator.com/item?id=15219906

Also, there are patents available for deterministic models based off of neurophysiological response data obtained from various sensors (primarily heart/pulse, galvanic capacitance of the skin, body temperature).

One model mentioned in the patent uses Nigel Osborne's INRM (Innate Neuro-physiological Response to Music) paradigm to make predictions.

Re: Deep Learning Techniques for Music Generation – A Survey

#16

Post by crumbles »

SubiculumCode wrote: post #2

Would a computer endlessly churning out music on par with Beethoven, Chopin, and the Beatles make us happier as humans?

Focusing on happiness, what if the computer were just endlessly working on making humans happy? Would that be any better?

You might end up with this: https://www.youtube.com/watch?v=Isrd7E5nzIQ

Or perhaps something much, much worse like electronic crack.

You could argue that we've already achieved that: http://nypost.com/2016/08/27/its-digital-heroin-how-screens-...

Re: Deep Learning Techniques for Music Generation – A Survey

#17

Post by [deleted] »

jradd wrote: post #15
dwringer wrote: post #11

Earlier quoted context omitted.

I wonder how relevant this perspective is to the discussion going on at [1]. Particularly, I am curious how people interpret the notion that a deep learning system could predict a person's musical preferences by their facial features. [1] https://news.ycombinator.com/item?id=15219906

Also, there are patents available for deterministic models based off of neurophysiological response data obtained from various sensors (primarily heart/pulse, galvanic capacitance of the skin, body temperature). One model mentioned in the patent uses Nigel Osborne's INRM (Innate Neuro-physiological Response to Music) paradigm to make predictions.

[deleted]

Re: Deep Learning Techniques for Music Generation – A Survey

#18

Post by dwringer »

jradd wrote: post #15
dwringer wrote: post #11

Earlier quoted context omitted.

I wonder how relevant this perspective is to the discussion going on at [1]. Particularly, I am curious how people interpret the notion that a deep learning system could predict a person's musical preferences by their facial features. [1] https://news.ycombinator.com/item?id=15219906

Also, there are patents available for deterministic models based off of neurophysiological response data obtained from various sensors (primarily heart/pulse, galvanic capacitance of the skin, body temperature). One model mentioned in the patent uses Nigel Osborne's INRM (Innate Neuro-physiological Response to Music) paradigm to make predictions.

"Also?" I was only bringing the subject up for discussion - I think it would be ridiculous to suggest that facial features could actually predict a person's musical tastes. These tastes change in some people from day to day or even minute to minute. People also subjectively evaluate music very differently, even when it's music they enjoy listening to.

As for those patents, I would caution against interpreting them to mean a person's musical preferences can be inferred or exploited in this way. Merely evoking a physical response is not the same as satisfying a person's preference or desire. Particularly, a physical response can happen in the absence of a person's consent to receive the stimulus, and in rape trials this is legally recognized to exclude evidence of such a physical response from being used by the defense.

Re: Deep Learning Techniques for Music Generation – A Survey

#19

Post by peterburkimsher »

SubiculumCode wrote: post #2

Would a computer endlessly churning out music on par with Beethoven, Chopin, and the Beatles make us happier as humans?

I'm a simple man. Four chords are enough to make me happy.

https://www.youtube.com/watch?v=5pidokakU4I

You can experiment with different progressions at this CodePen:

https://codepen.io/jakealbaugh/full/qNrZyw

Maybe it's not Beethoven or Chopin, but if it's good enough to compare with modern pop songs, then there should be a market for it.

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