000			04075cam a2200409 i 4500
999			_c3060 _d3060
001			19277187
003			OSt
005			20190930160836.0
008			160916t20172017enka b 001 0 eng c
010			_a 2016041119
020			_a9781107007536 _q
020			_a _q
040			_aOU/DLC _beng _cOU _erda _dDLC
042			_apcc
050	0	0	_aQP461 _b.L96 2017
082	0	0	_a612.85 LYO _223
100	1		_aLyon, Richard F., _eauthor.
245	1	0	_aHuman and machine hearing : _bextracting meaning from sound / _cRichard F. Lyon, Google, Inc.
264		1	_aCambridge, United Kingdom ; _aNew York, NY : _bCambridge University Press, _c2017.
264		4	_c©2017
300			_axxi, 567 pages, 8 unnumbered pages of plates : _billustrations (some color) ; _c27 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
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			_a"If we understood more about how humans hear, we could make machines hear better, in the sense of being able to analyze sound and extract useful and meaningful information from it. Or so I claim. I have been working for decades, but more intensely in recent years, to add some substance to this claim, and to help engineers and scientists understand how the pieces fit together, so they can help move the art forward. There is still plenty to be done, and this book is my attempt to help focus the effort in this field into productive directions; to help new practitioners see enough of the evolution of ideas that they can skip to where new developments and experiments are needed, or to techniques that can already solve their sound understanding problems. The book-writing process has been tremendous fun, with support from family, friends, and colleagues. They do, however, have a tendency to ask two annoying questions: "Is the book done yet?" and "Who is your audience?" The first eventually answers itself, but I need to say a few words about the second. I find that interest in sound and hearing comes from people of many different disciplines, with complementary backgrounds and sometimes incompatible terminology and concepts. I want all of these people as my audience, as I want to teach a synthesis of their various viewpoints into a more comprehensive framework that includes everything needed to work on machine hearing problems. That is, electrical engineers, computer scientists, physicists, physiologists, audiologists, musicians, psychologists, and others are all part of my audience. Students, teachers, researchers, product managers, developers, and hackers are, too"-- _cProvided by publisher.
650		0	_aHearing.
650		0	_aAuditory perception _xMathematical models.
650		0	_aAuditory perception _xComputer simulation.
856	4	1	_3Table of contents only _uhttps://www.loc.gov/catdir/enhancements/fy1618/2016041119-t.html
856	4	2	_3Contributor biographical information _uhttps://www.loc.gov/catdir/enhancements/fy1702/2016041119-b.html
856	4	2	_3Publisher description _uhttps://www.loc.gov/catdir/enhancements/fy1702/2016041119-d.html
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cSTS