At some point in my journey, I knew I might want some music to feed into this the BOW project. I think it was after developing the film element and editing it to Grace Slick and Jefferson Airplane’s White Rabbit – several versions, one to the whole song, one to a version where Jefferson Airplane’s music had been digitally removed leaving Slick singing alone, and one where the music played backwards. I used this particular song as it is in one of the films about sight which I have “mashed up” into my own edit along with other films about seeing and relational entities.
I so admire Pippiloti Rist’s use of the Beatles’ ‘I’m Not The Girl Who Misses Much’ (1986) – it’s one of the most incredible pieces of work so I am not averse to the idea of using a well-known song. However, using Slick’s music did not feel right for the work I’m making. (And who could ever even begin to live up to what Rist did with that song?)
(BTW – Great interview – https://channel.louisiana.dk/video/pipilotti-rist-positive-exorcism)
I approached composers I’d already collaborated with and my friend Simon (collaborated on Self & Other – i will have call you) offered to write something new or else allow me to use work he’d already written recently including some tracks he’s made using a deep learning algorithm called Magenta. Of course, the final option suited this work best. And he has very kindly allowed me to attach my work to the tracks he used, for which I am enormously grateful.
https://magenta.tensorflow.org/
So – before handing the work in, I thought I better just say what Magenta is. According to the website it is: “Magenta was started by researchers and engineers from the Google Brain team, but many others have contributed significantly to the project. We develop new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it’s also an exploration in building smart tools and interfaces that allow artists and musicians to extend their processes using these models. We use TensorFlow and release our models and tools in open source on our GitHub.” (Google Research)
Google Research (2020) Magenta Available at: https://research.google/teams/brain/magenta/ (accessed 04/09/2020)
or
“Making music with Magenta
Magenta is a Python library that helps you generate art and music. In this tutorial, we’ll talk about the music generation bits in note_seq — how to make your browser sing, and in particular, how to make your browser sing like you!
As a library, note_seq can help you:
- make music using some of the neat abstractions and utilities in the library
- use Machine Learning models to generate music.”
Hello Magenta (s.d) Available at: https://colab.research.google.com/notebooks/magenta/hello_magenta/hello_magenta.ipynb#scrollTo=dPkdg9jTjkTd (Accessed 04/09/2020)
Moving forward, if this work were to be developed, it might be good to get Magenta learning from Grace Slick and other artists from that era – all of which is something I would need significant help with.
I am very grateful to Simon for his generosity. I have linked his Soundcloud to the project on my website and you can also visit from here: https://soundcloud.com/user-286732734/sets/part-2




