000			02909nam a22003618i 4500
001			CR9781139051699
003			UkCbUP
005			20240730160807.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110307s2017||||enk o ||1 0|eng|d
020			_a9781139051699 (ebook)
020			_z9781107007536 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP461 _b.L96 2017
082	0	0	_a612.8/5 _223
100	1		_aLyon, Richard F., _eauthor. _974809
245	1	0	_aHuman and machine hearing : _bextracting meaning from sound / _cRichard F. Lyon, Google, Inc.
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (xxi, 567 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 04 May 2017).
505	0		_aTheories of hearing -- On logarithmic and power-law hearing -- Human hearing overview -- Acoustic approaches and auditory influence -- Introduction to linear systems -- Discrete-time and digital systems -- Resonators -- Gammatone and related filters -- Nonlinear systems -- Automatic gain control -- Waves in distributed systems -- Auditory filter models -- Modeling the cochlea -- The CARFAC digital cochlear model -- The cascade of asymmetric resonators -- The outer hair cell -- The inner hair cell -- The AGC loop filter -- Auditory nerve and cochlear nucleus -- The auditory image -- Binaural spatial hearing -- The auditory brain -- Neural networks for machine learning -- Feature spaces -- Sound search -- Musical melody matching -- Other applications.
520			_aHuman and Machine Hearing is the first book to comprehensively describe how human hearing works and how to build machines to analyze sounds in the same way that people do. Drawing on over thirty-five years of experience in analyzing hearing and building systems, Richard F. Lyon explains how we can now build machines with close-to-human abilities in speech, music, and other sound-understanding domains. He explains human hearing in terms of engineering concepts, and describes how to incorporate those concepts into machines for a wide range of modern applications. The details of this approach are presented at an accessible level, to bring a diverse range of readers, from neuroscience to engineering, to a common technical understanding. The description of hearing as signal-processing algorithms is supported by corresponding open-source code, for which the book serves as motivating documentation.
650		0	_aHearing. _93833
650		0	_aAuditory perception _xMathematical models. _974810
650		0	_aAuditory perception _xComputer simulation. _974811
776	0	8	_iPrint version: _z9781107007536
856	4	0	_uhttps://doi.org/10.1017/9781139051699
942			_cEBK
999			_c84252 _d84252