1st Edition
Making Machine Musicians AI for Live Musical Performance
0. Who Is This Book For? 1. A Conversation with Your Computer… 2. Defining AI Part I: Top Down 3. Understanding Algorithms and Algorithmic Music 4. Symbolic AI, Part I 5. Symbolic AI, Part II 6. Machine Decisions: Symbolic AI, Part III 7. Markov Models 8. Music and Language Part II: Bottom-Up 9. Connectionism Part I: MIDI from Audio 10. Connectionism, Part II: Turning Estimations Into Actions 11. Continuation…
Biography
Jason Palamara is Assistant Professor of Music Technology at Indiana University, Indianapolis, USA. He specialises in developing AI-enabled performance technologies for music. He directs the Indianapolis-based Machine Musician Lab that pursues multiple AI music and performance initiatives. He maintained a long-term creative partnership with the late percussionist-composer and technologist Scott Deal, with whom he developed the interactive AVATAR software. AVATAR is an autonomous music system that uses machine learning to play along with live improvisation. He is also the founder/director of IU’s 30+ member DISEnsemble (Diverse Instrument Symphonic Ensemble), which counts an autonomous digital performer named the Emergent Musical Hologram (EMH) among its performers.
