SOUND MACHINES

Upending traditional roles of player and played, Danielle Brathwaite-Shirleys _CANCEL YOURSELF_ (2024) is a multisensory, interactive game asking players to decide how they would like to cancel themselves. A set of accompanying posters poses these questions in graphic form. By turns biting and humorous, the game allows participants to find their own path amid social pressure, cultural tension, and difficult choices. _CANCEL YOURSELF_ is set to an ambient score: Listen hard. Dont let the sound wash over you.

CANCEL YOURSELF #27

American Artist and Tommy Martinez have produced a new generative interface that remixes a recording of their sound piece _Integrity Protocol/Lower Limb Lecture_ (2023/24). Viewers can explore and create new sonic textures by experimenting with the custom interface. The interface is based on an audiovisual work composed using synthesizers and poetic speech, centering on a disembodied voice American Artists own that evokes an empty personhood, or the lowest and least counted in society. Text captions scroll against a blue void, suggesting the blue screen of death appearing during a system crash. Credits: Tommy Martinez - Music and Web Programming American Artist - Lyrics and Video Ryan Howe - Recording and Mixing Kevin Ramsay - Mastering

Integrity Protocol / Lower Limb Lecture #4

Integrity Protocol / Lower Limb Lecture #5

Integrity Protocol / Lower Limb Lecture #7

Integrity Protocol / Lower Limb Lecture #8

Integrity Protocol / Lower Limb Lecture #9

Integrity Protocol / Lower Limb Lecture #13

Integrity Protocol / Lower Limb Lecture #17

Integrity Protocol / Lower Limb Lecture #20

Integrity Protocol / Lower Limb Lecture #24

Integrity Protocol / Lower Limb Lecture #25

Integrity Protocol / Lower Limb Lecture #27

Holly Herndon and Mat Dryhursts _Play from Memory_ (2024) is a series of machine-generated works informed by Gunild Keetman and Carl Orffs Schulwerk, a set of music education methods and imitation games for children developed in the 1920s. Orff and Keetman hoped to teach children to improvise freely from memory, training them with instructions in the form of text prompts, mnemonic games, and graphic symbols. Herndon and Dryhurst created sixteen new machine learning models that produce fantastical orchestral / choral sounds and imagery of imaginary instruments, performances, and lessons. _Play from Memory_ highlights striking similarities between the ways in which Orff and Keetman aspired for children to learn music, and how we train machines to learn music today.