3rd Conference on AI Music Creativity
Music Session
Interaction & Improvisation #1
Wednesday, 14 September 2022
13:00 JST (UTC+9)Yiğit Kolat
Fernando Egido
Jack Walker

Inference Engines
Collaborametrum
Power Trio

Inference Engines
The title refers to a neural network component both in metaphorical and direct ways. The musical content
consists of a guided improvisation session partially driven by the musicians’ inferences on the writtenmaterial, reflecting the musician mind as a metaphorical inference engine. The score also provides an input for an actual inference engine, generating a fluid video-notation that guides the improvisation. Theseelements come together within a context that focuses on racially-biased practices in facial recognition
applications. Weights from a biased and insufficient dataset are fed into a third inferencing engine that is
optimized for real-time audio processing to achieve a distortion effect. A deliberate distancing between
the musical process and the sound effect serves to emphasize the essential identity of the distortion as
an output of a faulty neural network. Its separate and insistent presence reminds us the very real consequences of using such networks.
Yiğit Kolat’s works draw inspirations and expressions from a wide array of topics ranging from bytebeats
to the methods and ethics of artificial intelligence. The complicated political and social environment of
his native Turkey is a recurring theme in his diverse output. His works, described as “touching and convincing...a multi-sensory universe,” (K.Saariaho) have been recognized by a prestigious array of international organizations, including the Tōru Takemitsu Composition Award, and the Concours Internationalde Composition Henri Dutilleux. His music has been featured throughout the United States, Europe, andAsia by leading ensembles and soloists, among them the Tokyo Philharmonic and Ryoko Aoki (Japan);
Solistes de L’Orchestre de Tours, Donatienne Michel-Dansac, and Pascal Gallois (France); Nieuw Ensemble (The Netherlands); Talea Ensemble, Seattle Modern Orchestra and the Argento New Music Project(USA). Kolat earned his Doctorate of Musical Arts at the University of Washington, studying with JoëlFrançois Durand.

Collaborametrum
Collaborametrum means measuring collaboration. Collaborametrum is an experimental work about
forms of creativity based on collaborative intelligence. It is a collaborative, interactive, and algorithimc
work where the interpreters compose the work through their collaborative movements on stage. Collaborametrum is conceived as a musical cooperative game. The algorithmic system that creates the scoreis controlled by a machine learning system that measures the collaboration between musicians. Theinterpreters will be moving freely onstage. The movement will be captured with sensors and received by
the computer via WIFI. The Machine Learning system will search for collaborative patterns convertingthe collaboration into a metric. This metric will be used by a generative algorithm to create the score.
The score will be sent to the performers via a real-time notation system. The musicians play their collaboration in real-time.

Fernando Egido studied composition with José Luis de Delás at the School of Music of the University ofAlcalá de Henares and received musical training in workshops with composers, analysts, and interpreters
around the LIEM or the GCAC. He studied Computer Music with Emiliano del Cerro. He has publishedseveral papers at international conferences. His works have been performed at festivals such as Epicemtroom, Sur Aural, EVO 2021, OUA Electroacoustic Music Festival 2020 in Osaka, the International Society
for Music Information Retrieval 2020 in Montreal, the Seoul International Electroacoustic Music Festival
2019, the Australasian Computer Music Conference 2019 conference in Melbourne, SID ( Sound, Image,Data) 2015 conference in New York, Venice Vending Machine III, New York City Electroacoustic Music
Festival (2016, 2017, 2020), JIEN in the Auditory 400 National Museum Art Center Reina Sofía, SMASH
Festival, Encontres Festival in Palma Of Majorca, ACA.

Power Trio
Power Trio is a solo piece for guitar, bass and drums. A guitar is fed into a computer system thatmakes selections from a corpus of bass and percussion sounds that were recorded with Manuel Alcaraz
Clemente and Margarethe Maierhofer-Lischka of Graz’s Schallfeld Ensemble. The guitar is analysed andused to direct the manner in which sound is drawn from this corpus of pre-recorded sound. The outputsof this system are similarly analysed and used to control sound processing algorithms, and the form of
the piece emerges as a result of this complex interaction between live, recorded and processed sound.
With enormous thanks to the Institute for Electronic Music’s Inter_Agency team (where this piece wasstarted) and FluCoMa (who helped me strategize an interface for it).
Jack Walker is a composer, improviser and researcher who enjoys working with computers. In his live
electronics work, he designs digital sound processing networks that adjust their musical output in response to qualities obtained through machine listening. As a performer and researcher, he has presented work at multiple international conferences, festivals and DIY arts spaces. His research covers
cybernetics, autonomous systems, agency, participation and performance ecologies, and he is particular interested in the social and cultural ramifications of artificial intelligence technologies. He is currently
finishing off his doctorate in Creative Music Practice at The University of Edinburgh and was recently acomposer-in-residence with the Inter_Agency team at the Institute for Electronic Music.