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9780890062975

Computer Speech Technology

by
  • ISBN13:

    9780890062975

  • ISBN10:

    0890062978

  • Format: Hardcover
  • Copyright: 1999-02-01
  • Publisher: Artech House
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List Price: $39.00

Summary

This new book is the first to provide a truly understandable, non-technical overview of all the major areas in the computer processing of human speech -- speech recognition, speech synthesis, speaker recognition, language identification, lip synchronization, and co-channel separation. It takes a unique, nonmathematical approach in exploring the nature of human language and its impact on the science and methodologies of computer voice technology. In one, easy-to-read source, you gain a deeper understanding of the fundamentals, uses, and applications of the technology itself and of the strengths and weaknesses of various systems. A time-saving glossary of technical terms is included.

Table of Contents

Preface xv
About Speech
1(50)
Introduction
1(1)
How Speech Is Produced
2(32)
The Vocal Tract
2(3)
Articulatory Phonetics
5(9)
Phonetic Alphabets
14(11)
Prosody and Suprasegmentals
25(3)
Syllables
28(1)
Dialects
29(2)
Languages (Other Than English)
31(3)
Acoustic Phonetics
34(8)
Phonemics
42(5)
Articulatory Processes
47(4)
References
49(2)
Representing Speech in the Computer
51(48)
Introduction
51(1)
Microphones
52(1)
Sampling
53(16)
Sampling Rate
54(8)
Quantization
62(7)
Speech Digitization
69(18)
Wave Form Coders
73(10)
Voice Coders (Vocoders)
83(4)
The Frequency Domain
87(12)
The Game of Jumble: Spectrum-Cepstrum, Frequency-Quefrency, Filtering-Liftering
91(2)
Spectrograms: A Hybrid Representation of Speech
93(5)
References
98(1)
Speech Recognition
99(78)
Introduction
99(1)
Speech Recognition: What It Is; What It Isn't
100(1)
Why Is Speech Recognition Easy for us and Difficult for Our Computers?
101(2)
A Brief History of Speech Recognition
103(8)
The Era of ARPA
105(4)
After ARPA
109(2)
Three Dimensions of Speech Recognition
111(6)
Continuous Versus Noncontinuous
111(2)
Speaker-Independent Versus Speaker-Dependent
113(1)
Vocabulary Size
114(1)
Tradeoffs and Interactions
115(2)
Units of Speech Recognition
117(4)
Words and Phrases
118(1)
Syllables
118(1)
Phonemes
119(1)
Diphones and Triphones
120(1)
Representing the Units
121(5)
Acoustic Features
121(5)
Comparing the Units
126(7)
Dynamic Time Warping (DTW)
126(3)
Hidden Markov Models (HMMs)
129(4)
Future Challenges I
133(4)
Artificial Neural Networks (ANNs)
133(4)
Errors
137(7)
Types of Errors
138(4)
Error Tolerances
142(2)
Performance Evaluation of Speech Recognizers
144(10)
Error Rates
145(7)
Other Factors
152(2)
Error Reduction
154(6)
Environmental Effects
155(1)
Human Factors
155(3)
Subsetting
158(1)
Vocabulary Selection
159(1)
Error Detection and Correction
160(15)
Feedback Systems
161(3)
Higher Levels of Linguistic Knowledge
164(6)
Automatic Error Correction
170(5)
Future Challenges II
175(2)
References
176(1)
Speech Synthesis
177(38)
Introduction and History
177(2)
Parametric Coding (Electronic Synthesis)
179(5)
Parameters of Parametric Speech Synthesis
179(3)
Input Units of Parametric Speech Synthesis
182(2)
Concatenative Synthesis
184(6)
Allophone Concatenation
186(1)
Diphone Concatenation
186(1)
Demisyllable Concatenation
187(1)
Waveform of Concatenative Units
188(2)
Text-to-Speech Processing
190(16)
Rules and Exceptions
191(2)
Morphological Analysis
193(1)
Articulation Effects
194(2)
Prosody
196(4)
Special Problems
200(6)
Concept-to-Speech
206(2)
Languages of the World
208(1)
Dialects
209(1)
Performance Evaluation
209(4)
Intelligibility
210(1)
Comprehensibility
211(1)
Pleasantness/Naturalness
212(1)
Future Challenges
213(2)
References
213(2)
Speaker Recognition, Language Identification, and Lip Synchronization
215(36)
Speaker Recognition
215(19)
Speaker Recognition Versus Speech Recognition
216(1)
Types of Speaker Recognition
217(1)
Text-Dependent, Text-Independent, and Text-Prompted Speaker Recognition
218(2)
``Voiceprints''
220(1)
Methods of Speaker Recognition
221(8)
Noise
229(2)
Performance Evaluation of Speaker Recognition Systems
231(3)
Co-channel Speaker Separation
234(2)
Language Identification
236(7)
Four Computational Approaches to Language Identification
238(3)
Performance Evaluation of Language Identification Systems
241(2)
Lip Synchronization
243(6)
Visemes
244(2)
Mapping Directly From the Speech Signal to Mouth Shapes
246(3)
Future Challenges
249(2)
References
249(2)
Applications in Speech Recognition
251(26)
Criteria for a Viable Speech Recognition Application
252(3)
Hands Busy, Eyes Busy
252(1)
Remoteness
253(2)
Miniaturization
255(1)
2001 Won't Be 2001
255(1)
The Role of Human Factors in Speech Recognition Applications
256(2)
Application Areas
258(19)
Assistive Technology
259(3)
Telecommunications
262(2)
Command and Control
264(4)
Data Entry and Retrieval
268(4)
Education
272(3)
References
275(2)
Applications in Speech Synthesis
277(20)
``At the Tone, the Time Will Be...''
278(1)
When to use Text-to-Speech; When to use Digitally Recorded Speech
278(2)
Interactive Voice Response Systems (IVRs)
280(1)
Human Factors Revisited
281(1)
Application Areas
282(15)
Aid for Persons with Disabilities
283(3)
Education
286(1)
Emergency Scenarios
287(1)
En Masse Advisories
288(1)
Information Retrieval
289(1)
Information Reporting
290(2)
Electronic Mail and Fax Readers
292(2)
In the Dark
294(1)
Toys and Games
295(1)
Transportation
295(1)
Government Services
296(1)
Disguise
296(1)
References
296(1)
Applications in Speaker Recognition, Language Identification, and Lip Synchronization
297(14)
Applications in Speaker Recognition
298(9)
Access
298(3)
Authentication
301(1)
Monitoring
301(2)
Fraud Prevention
303(1)
Forensics
304(2)
Personal Services
306(1)
Applications in Language Identification
307(1)
Telecommunications
307(1)
Communications Monitoring
307(1)
Public Information Systems
308(1)
Applications in Automatic Lip Synching
308(3)
Animation
308(2)
References
310(1)
Glossary 311(20)
About the Author 331(2)
Index 333

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