TY  - BOOK
AU  - Lyon, Richard F.
TI  - Human and machine hearing: extracting meaning from sound
SN  - 9781107007536
U1  - 612.85 
PY  - 2017///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Auditory perception - Computer simulation
KW  - Auditory perception - Mathematical models
KW  - Hearing
N1  - Table of Contents

Part I - Sound Analysis and Representation Overview 
1 - Introduction 
2 - Theories of Hearing 
3 - On Logarithmic and Power-Law Hearing 
4 - Human Hearing Overview 
5 - Acoustic Approaches and Auditory Influence 

Part II - Systems Theory for Hearing
6 - Introduction to Linear Systems 
7 - Discrete-Time and Digital Systems 
8 - Resonators 
9 - Gammatone and Related Filters 
10 - Nonlinear Systems 
11 - Automatic Gain Control 
12 - Waves in Distributed Systems 

Part III - The Auditory Periphery 
13 - Auditory Filter Models 
14 - Modeling the Cochlea 
15 - The CARFAC Digital Cochlear Model 
16 - The Cascade of Asymmetric Resonators 
17 - The Outer Hair Cell 
18 - The Inner Hair Cell 
19 - The AGC Loop Filter 

Part IV - The Auditory Nervous System 
20 - Auditory Nerve and Cochlear Nucleus 
21 - The Auditory Image
N2  - Human 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.

https://www.cambridge.org/core/books/human-and-machine-hearing/3660166B40020EE587D94BB7A309FC12#fndtn-information
ER  -