Lyon, Richard F.

Human and machine hearing: extracting meaning from sound - Cambridge Cambridge University Press 2017 - xxi, 567p. With index

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

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.


Auditory perception - Computer simulation
Auditory perception - Mathematical models

612.85 / L9H8

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