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010			_a 2023019699
020			_a9781000984538 _q(epub)
020			_a9781003240198 _q(ebook)
020			_z9781032146188 _q(hardback)
020			_z9781032133911 _q(paperback)
040			_aDLC _beng _cDLC _erda _dDLC _dJO-AjAnu
041			_aeng
042			_apcc
050	0	0	_aML74
082	0	0	_a780.285/63 _223/eng/20230830
100	1		_aDubnov, Shlomo, _eauthor.
245	1	0	_aDeep and shallow : _bmachine learning in music and audio / _cShlomo Dubnov and Ross Greer.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2024.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aCRC machine learning & pattern recognition
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction 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.
520			_a"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"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aArtificial intelligence _xMusical applications.
650		0	_aComputer composition (Music)
650		0	_aComputer sound processing.
700	1		_aGreer, Ross, _eauthor.
776	0	8	_iPrint version: _aDubnov, Shlomo. _tDeep and shallow _bFirst edition. _dBoca Raton : CRC Press, 2024 _z9781032146188 _w(DLC) 2023019698
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK _n0
999			_c33806 _d33806