Deep and shallow : machine learning in music and audio /
Dubnov, Shlomo,
Deep and shallow : machine learning in music and audio / Shlomo Dubnov and Ross Greer. - First edition. - 1 online resource - CRC machine learning & pattern recognition .
Includes bibliographical references and index.
Introduction to Sounds of Music -- Noise : the Hidden Dynamics of Music -- Communicating Musical Information -- Understanding and (Re)Creating Sound -- Generating and Listening to Audio Information -- Artificial Musical Brains -- Representing Voices in Pitch and Time -- Noise Revisited : Brains that Imagine -- Paying (Musical) Attention -- Last Noisy Thoughts, Summary and Conclusion -- Appendix B. Summary of Programming Examples and Exercises -- Appendix C. Software Packages for Music and Audio Representation and Analysis -- Appendix D. Free Music and Audio editing software -- Appendix E. Datasets.
"Providing an essential and unique bridge between the theories of signal processing, machine learning and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. 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. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarise readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state of the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music and AI"--
9781000984538 9781003240198
2023019699
Artificial intelligence--Musical applications.
Computer composition (Music)
Computer sound processing.
ML74
780.285/63
Deep and shallow : machine learning in music and audio / Shlomo Dubnov and Ross Greer. - First edition. - 1 online resource - CRC machine learning & pattern recognition .
Includes bibliographical references and index.
Introduction to Sounds of Music -- Noise : the Hidden Dynamics of Music -- Communicating Musical Information -- Understanding and (Re)Creating Sound -- Generating and Listening to Audio Information -- Artificial Musical Brains -- Representing Voices in Pitch and Time -- Noise Revisited : Brains that Imagine -- Paying (Musical) Attention -- Last Noisy Thoughts, Summary and Conclusion -- Appendix B. Summary of Programming Examples and Exercises -- Appendix C. Software Packages for Music and Audio Representation and Analysis -- Appendix D. Free Music and Audio editing software -- Appendix E. Datasets.
"Providing an essential and unique bridge between the theories of signal processing, machine learning and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. 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. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarise readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state of the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music and AI"--
9781000984538 9781003240198
2023019699
Artificial intelligence--Musical applications.
Computer composition (Music)
Computer sound processing.
ML74
780.285/63