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

Deep and Shallow: Machine Learning in Music and Audio (Chapman & Hall/CRC Machine Learning & Pattern Recognition) By Shlomo Dubnov, Ross Greer Cover Image

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

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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.

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.
Product Details ISBN: 9781032133911
ISBN-10: 1032133910
Publisher: CRC Press
Publication Date: December 8th, 2023
Pages: 328
Language: English
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition