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Finn interviews Composer and Machine Learning specialist Dr. Cheng-Zhi Anna Huang about the Music Transformer project at Google’s Magenta Labs. They discuss representations of music for machine learning, algorithmic music generation as a compositional aid, the JS Bach Google Doodle, how self-refer…
This episode brings recommendations from the 2019 ISMIR conference at TUDelft in the Netherlands. A number of contributors, old and new, highlighted papers that had caught their attention.  Note: At ISMIR, all accepted papers were presented via a short 4 minute talk and a poster. This arrangeme…
Host Finn Upham recommends “How Music Moves Us: Entraining to Musicians’ Movements” by Alexander Demos and Roger Chaffin, published in Music Perception, 2017. They interview Dr Demos about this study and adjacent issues. Note: This interview goes fairly deep into the challenges of time series data…
Postdoctoral fellow Sarah Sauvé recommends “Individual differences in rhythmic cortical entrainment correlate with predictive behavior in sensorimotor synchronization” by Sylvie Nozaradan, Isabelle Peret, and Peter E. Keller, published in Nature Scientific Reports in 2016. Sarah and Finn interview …
Music Education doctoral candidate Ethan Hein recommends “Equity and Music Education: Euphemisms, Terminal Naivety, and Whiteness” by Juliet Hess, published in Action, Criticism & Theory for Music Education, 2017. Ethan and Finn interview Dr. Juliet Hess about this study and whiteness in music …
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Finn Upham에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.