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Deep and Shallow: Machine Learning in Music and Audio (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Softcover

Dubnov, Shlomo; Greer, Ross

 
9781032133911: Deep and Shallow: Machine Learning in Music and Audio (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Softcover
ISBN 10: 1032133910 ISBN 13: 9781032133911
Verlag: Chapman and Hall/CRC, 2023

Inhaltsangabe

Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory.

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Über die Autorin bzw. den Autor

Shlomo Dubnov is a Professor in the Music Department and Affiliate Professor in Computer Science and Engineering at the University of California, San Diego. He is best known for his research on poly-spectral analysis of musical timbre and inventing the method of Music Information Dynamics with applications in Computer Audition and Machine improvisation. His previous books on The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning and Cross-Cultural Multimedia Computing: Semantic and Aesthetic Modeling were published by Springer.

Ross Greer is a PhD Candidate in Electrical & Computer Engineering at the University of California, San Diego, where he conducts research at the intersection of artificial intelligence and human agent interaction. Beyond exploring technological approaches to musical expression, Ross creates music as a conductor and orchestrator for instrumental ensembles. Ross received his B.S. and B.A. degrees in EECS, Engineering Physics, and Music from UC Berkeley, and an M.S. in Electrical & Computer Engineering from UC San Diego.

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Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1032133910
ISBN 13 
9781032133911
Einband
Taschenbuch
Anzahl der Seiten
344
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
gpsr@libri.de
gpsr@libri.de

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