Voice Recognition

By: Richard L. Klevans, Robert Rodman

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Hardcover | 1 October 1997

At a Glance

Hardcover
188 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

Hardcover

$341.75

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Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Audio Processing Artificial Intelligence Natural Language & Machine Translation Image Processing

Introduction	p. 1
Speech Synthesis	p. 1
Speech Recognition	p. 3
Speaker Classification	p. 4
Areas of Application for Voice Recognition	p. 6
Design Tradeoffs in Voice Recognition	p. 7
Text-Dependent Versus Text-Independent	p. 7
Ideal Recording Environment Versus Noisy Environment	p. 8
Speaker Verification Versus Speaker Identification	p. 9
Real-Time Operation Versus Off-Line Operation	p. 9
Regarding This Book	p. 10
Intended Readers	p. 10
What Is Covered	p. 11
Why?	p. 12
References	p. 13
Background of Voice Recognition	p. 15
Voiceprint Analysis	p. 16
Parameter Extraction	p. 20
The Parameter Extraction Process	p. 20
Types of Parameters	p. 21
Evaluation of Parameters	p. 27
Distance Measures	p. 29
Pattern Recognition	p. 32
Voice Recognition in Noisy Environments	p. 54
Summary	p. 56
References	p. 57
Methods of Context-Free Voice Recognition	p. 61
Voice Recognition in Law Enforcement	p. 61
Forensic Recognition Classification	p. 62
Ideal Voice Recognition	p. 64
A Segregating Voice-Recognition System	p. 72
System Tasks	p. 75
Channel Variation Compensation	p. 94
Software Implementation	p. 99
Logistics of Forensic Speaker Identification	p. 101
Summary	p. 105
References	p. 105
Experimental Results	p. 107
Test Utterance Length Experiments	p. 107
Large Population Results	p. 112
Filtered Data Test	p. 114
Channel Compensation Tests	p. 116
Average Filter Compensation Technique Experiment	p. 117
Rehumanizing Filter Technique Experiment	p. 119
Secondary Parameters	p. 121
Secondary Parameter Usage	p. 130
Effects of Varying the Cutoff Value	p. 131
Best-Case Secondary Parameter Usage	p. 132
Mock Forensic Cases	p. 135
SBI Case 1	p. 136
SBI Case 2	p. 144
SBI Case 3	p. 147
Summary	p. 148
References	p. 149
The Future of Context-Free Voice Recognition	p. 151
Rehumanizing Filter Technique Tests	p. 151
Voice-Recognition Databases	p. 153
Medium-Term Goals	p. 156
Long-Term Goals	p. 157
Other Applications	p. 158
Summary	p. 159
References	p. 160
Conclusions	p. 161
About the Authors	p. 165
Index	p. 167
Table of Contents provided by Syndetics. All Rights Reserved.

Voice Recognition

At a Glance

Hardcover

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How to return your order

Defective items

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