That being said, this is incredibly exciting to me, and I look forward to seeing how it progresses, and probably challenges my ideas of what music is
That being said, this is incredibly exciting to me, and I look forward to seeing how it progresses, and probably challenges my ideas of what music is
I recently had a discussion about this with a musician. I said that I didn't like when music was produced (and certainly lyrics written by) somebody else than the performer. I said it took away from the experience of 'getting to know' the person I was listening to.
She basically replied, that I was being extremely old fashioned, and that this 'idea' of music was very harmful for the business. She said it prevented people from working together and each contributing what they did best.
If she's right, I guess we just have to interpret the music on its own, and not see it as a mental state of some individual creator. Maybe this is related to, when authors are annoyed that people identify them with their main characters. In any case, non-individual art doesn't seem to be going away.
We can argue whether, for example, Adele is better at conveying emotion because she wrote the song. What we shouldn't do is claim that it's impossible for someone to do so if they didn't write the lyrics themselves.
Now, once you abstract that, does it matter whether the original writer was human as long as they produce something a singer can then connect with emotionally and then project? I don't know. I feel like ignorance would be bliss.
It's sad, but this is the reality of the music industry today. It also means it's highly unlikely that a modern version of the Beatles would ever exist or become successful in the music industry. I guess Coldplay is probably the closest we will come (they certainly write all of their own music).
It would be very interesting to create a secret fake person profile and publish AI generated music under that fake name and see if humans feel identified with the lyrics and music. See how far it goes, who knows, maybe create the next super star. Then to later reveal the secret.
For example, I often write pieces of music where I can pinpoint very specific sections where the harmonic, melodic or rhythmic choices (separately or in any combination) sound trite or boring/predictable. I'd love to be able to feed the entire song into a machine, point out those specific trouble spots to it, and have it generate alternatives for just those sections, perhaps on a spectrum from 'not-too-far-from-the-rest-of-what-you've-written' (harmonically/melodically/rhythmically) on one end to 'way-out-there' on the other.
Even if none of the output on its own was usable it would still have value in stimulating my imagination with ideas that otherwise wouldn't have occurred to me and that I could build on or refine.
I agree with the sentiment. But from a perceptual perspective, it's getting harder and harder to distinguish what is synthetic and what is organic. The trumpets, strings, and keys you hear on a song you like on the radio? It's very probable that they weren't played by humans: they might have been programmed and the sounds come from a massive, hyper sampled sound bank.
If we did an experiment, and recruited even expert musicians, and we asked them to classify sound clips in 'played/programmed' categories, I bet they wouldn't get them right.
David Cope's experiments showed that: https://www.theguardian.com/technology/2010/jul/11/david-cop...