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.
- The author is the leading practitioner in applying hearing science to modern problems such as speech and music recognition
- Presents updated versions of the author's widely-used hearing models and supports them with well-explained open-source code
- The book is wide ranging, leveraging ideas from machine vision in combination with hearing science
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Awards
- Honourable mention, 2018 PROSE Award for Engineering and Technology
Reviews & endorsements
'Lyon is a great teacher and he has a deep understanding of the science and art of machine hearing. The reader will be greatly rewarded for engaging with any and all sections of the book.' Roy D. Patterson, University of Cambridge, from the Foreword
'If you want to read an engaging and informative history of the study of hearing and you want to learn about the science of hearing, you should read Human and Machine Hearing. If you want to build a hearing 'machine,' you must read Human and Machine Hearing.' William Yost, Arizona State University and best-selling author of Fundamentals of Hearing: An Introduction
'This is a wonderfully written and much-needed book, written by a true world-class expert in the field. It is an ideal reference for students and professional researchers alike - authoritative and delightfully readable. It provides the best and most up-to-date coverage of auditory neuroscience and modeling there is.' Daniel J. Levitin, best-selling author of This Is Your Brain on Music
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Product details
- Date Published: June 2017
- format: Hardback
- isbn: 9781107007536
- length: 586 pages
- dimensions: 260 x 185 x 30 mm
- weight: 1.38kg
- availability: In stock
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 of 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
22. Binaural spatial hearing
23. The auditory brain
Part V. Learning and Applications:
24. Neural networks for machine learning
25. Feature space
26. Sound search
27. Musical melody matching
28. Other applications.
Look Inside
Author
Richard F. Lyon, Google, Inc., Mountain View, California
Richard F. Lyon leads Google's research and applications development in machine hearing as well as the team that developed camera systems for the Google Street View project. He is an engineer and scientist known for his work on cochlear models and auditory correlograms for the analysis and visualization of sound, and for implementations of these models, which he has also worked on at Xerox PARC, Schlumberger, and Apple. Lyon is a Fellow of the Institute of Electrical and Electronics Engineers and of the Association for Computing Machinery, and is among the world's top 500 editors of Wikipedia. He has published widely in hearing, VLSI design, signal processing, speech recognition, computer architecture, photographic technology, handwriting recognition, computer graphics, and slide rules. He holds 58 issued United States patents for his inventions, including the optical mouse.
Awards
- Honourable mention, 2018 PROSE Award for Engineering and Technology