04075cam a2200409 i 4500 3060 3060 19277187 OSt 20190930160836.0 160916t20172017enka b 001 0 eng c 2016041119 9781107007536 OU/DLC eng OU rda DLC pcc QP461 .L96 2017 612.85 LYO 23 Lyon, Richard F., author. Human and machine hearing : extracting meaning from sound / Richard F. Lyon, Google, Inc. Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2017. ©2017 xxi, 567 pages, 8 unnumbered pages of plates : illustrations (some color) ; 27 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. Theories 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. "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"-- Provided by publisher. Hearing. Auditory perception Mathematical models. Auditory perception Computer simulation. Table of contents only https://www.loc.gov/catdir/enhancements/fy1618/2016041119-t.html Contributor biographical information https://www.loc.gov/catdir/enhancements/fy1702/2016041119-b.html Publisher description https://www.loc.gov/catdir/enhancements/fy1702/2016041119-d.html 7 cbc orignew 1 ecip 20 y-gencatlg ddc STS 0 0 ddc 0 0 52/2 AIISH AIISH 2019-09-30 0 612.85 LYO 21508 2019-09-30 00:00:00 2019-09-30 STS