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図書
図書
1. Computer speech technology (: alk. paper)
Robert D. Rodman
出版情報: Boston : Artech House, c1999  xv, 344 p. ; 24 cm
シリーズ名: The Artech House signal processing library
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目次情報: 続きを見る
Preface
About Speech / 1：
Introduction / 1.1：
How Speech Is Produced / 1.2：
The Vocal Tract / 1.2.1：
Articulatory Phonetics / 1.2.2：
Phonetic Alphabets / 1.2.3：
Prosody and Suprasegmentals / 1.2.4：
Syllables / 1.2.5：
Dialects / 1.2.6：
Languages (Other Than English) / 1.2.7：
Acoustic Phonetics / 1.3：
Phonemics / 1.4：
Articulatory Processes / 1.5：
References
Representing Speech in the Computer / 2：
Microphones / 2.1：
Sampling / 2.3：
Sampling Rate / 2.3.1：
Quantization / 2.3.2：
Speech Digitization / 2.4：
Wave Form Coders / 2.4.1：
Voice Coders (Vocoders) / 2.4.2：
The Frequency Domain / 2.5：
The Game of Jumble: Spectrum-Cepstrum, Frequency-Quefrency, Filtering-Liftering / 2.5.1：
Spectrograms: A Hybrid Representation of Speech / 2.5.2：
Speech Recognition / 3：
Speech Recognition: What It Is; What It Isn't / 3.1：
Why Is Speech Recognition Easy for Us and Difficult for Our Computers? / 3.3：
A Brief History of Speech Recognition / 3.4：
The Era of ARPA / 3.4.1：
After ARPA / 3.4.2：
Three Dimensions of Speech Recognition / 3.5：
Continuous Versus Noncontinuous / 3.5.1：
Speaker-Independent Versus Speaker-Dependent / 3.5.2：
Vocabulary Size / 3.5.3：
Tradeoffs and Interactions / 3.5.4：
Units of Speech Recognition / 3.6：
Words and Phrases / 3.6.1：
Phonemes / 3.6.2：
Diphones and Triphones / 3.6.4：
Representing the Units / 3.7：
Acoustic Features / 3.7.1：
Comparing the Units / 3.8：
Dynamic Time Warping (DTW) / 3.8.1：
Hidden Markov Models (HMMs) / 3.8.2：
Future Challenges I / 3.9：
Artificial Neural Networks (ANNs) / 3.9.1：
Errors / 3.10：
Types of Errors / 3.10.1：
Error Tolerances / 3.10.2：
Performance Evaluation of Speech Recognizers / 3.11：
Error Rates / 3.11.1：
Other Factors / 3.11.2：
Error Reduction / 3.12：
Environmental Effects / 3.12.1：
Human Factors / 3.12.2：
Subsetting / 3.12.3：
Vocabulary Selection / 3.12.4：
Error Detection and Correction / 3.13：
Feedback Systems / 3.13.1：
Higher Levels of Linguistic Knowledge / 3.13.2：
Automatic Error Correction / 3.13.3：
Future Challenges II / 3.14：
Speech Synthesis / 4：
Introduction and History / 4.1：
Parametric Coding (Electronic Synthesis) / 4.2：
Parameters of Parametric Speech Synthesis / 4.2.1：
Input Units of Parametric Speech Synthesis / 4.2.2：
Concatenative Synthesis / 4.3：
Allophone Concatenation / 4.3.1：
Diphone Concatenation / 4.3.2：
Demisyllable Concatenation / 4.3.3：
Waveform of Concatenative Units / 4.3.4：
Text-to-Speech Processing / 4.4：
Rules and Exceptions / 4.4.1：
Morphological Analysis / 4.4.2：
Articulation Effects / 4.4.3：
Prosody / 4.4.4：
Special Problems / 4.4.5：
Concept-to-Speech / 4.5：
Languages of the World / 4.6：
Performance Evaluation / 4.6.1：
Intelligibility / 4.7.1：
Comprehensibility / 4.7.2：
Pleasantness/Naturalness / 4.7.3：
Future Challenges / 4.8：
Speaker Recognition, Language Identification, and Lip Synchronization / 5：
Speaker Recognition / 5.1：
Speaker Recognition Versus Speech Recognition / 5.1.1：
Types of Speaker Recognition / 5.1.2：
Text-Dependent, Text-Independent, and Text-Prompted Speaker Recognition / 5.1.3：
"Voiceprints" / 5.1.4：
Methods of Speaker Recognition / 5.1.5：
Noise / 5.1.6：
Performance Evaluation of Speaker Recognition Systems / 5.1.7：
Co-channel Speaker Separation / 5.2：
Language Identification / 5.3：
Four Computational Approaches to Language Identification / 5.3.1：
Performance Evaluation of Language Identification Systems / 5.3.2：
Lip Synchronization / 5.4：
Visemes / 5.4.1：
Mapping Directly From the Speech Signal to Mouth Shapes / 5.4.2：
Applications in Speech Recognition / 5.5：
Criteria for a Viable Speech Recognition Application / 6.1：
Hands Busy, Eyes Busy / 6.1.1：
Remoteness / 6.1.2：
Miniaturization / 6.1.3：
2001 Won't Be 2001 / 6.2：
The Role of Human Factors in Speech Recognition Applications / 6.3：
Application Areas / 6.4：
Assistive Technology / 6.4.1：
Telecommunications / 6.4.2：
Command and Control / 6.4.3：
Data Entry and Retrieval / 6.4.4：
Education / 6.4.5：
Applications in Speech Synthesis / 7：
"At the Tone, the Time Will Be..." / 7.1：
When To Use Text-to-Speech; When To Use Digitally Recorded Speech / 7.2：
Interactive Voice Response Systems (IVRs) / 7.3：
Human Factors Revisited / 7.4：
Aid for Persons With Disabilities / 7.5：
Emergency Scenarios / 7.5.2：
En Masse Advisories / 7.5.4：
Information Retrieval / 7.5.5：
Information Reporting / 7.5.6：
Electronic Mail and Fax Readers / 7.5.7：
In the Dark / 7.5.8：
Toys and Games / 7.5.9：
Transportation / 7.5.10：
Government Services / 7.5.11：
Disguise / 7.5.12：
Applications in Speaker Recognition, Language Identification, and Lip Synchronization / 8：
Applications in Speaker Recognition / 8.1：
Access / 8.1.1：
Authentication / 8.1.2：
Monitoring / 8.1.3：
Fraud Prevention / 8.1.4：
Forensics / 8.1.5：
Personal Services / 8.1.6：
Applications in Language Identification / 8.2：
Communications Monitoring / 8.2.1：
Public Information Systems / 8.2.3：
Applications in Automatic Lip Synching / 8.3：
Animation / 8.3.1：
Glossary
About the Author
Index
Preface
About Speech / 1：
Introduction / 1.1：
2.

図書
図書
2. Robustness in automatic speech recognition : fundamentals and applications
Jean-Claude Junqua, Jean-Paul Haton ; foreword by Hisashi Wakita
出版情報: Boston : Kluwer Academic Publishers, c1996  xxx, 440 p. ; 25 cm
シリーズ名: The Kluwer international series in engineering and computer science ; SECS 341
The Kluwer international series in engineering and computer science ; VLSI, computer architecture, and digital signal processing
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3.

図書
図書
3. Acoustical and environmental robustness in automatic speech recognition
by Alejandro Acero ; foreword by Richard M. Stern
出版情報: Boston : Kluwer Academic Publishers, c1993  xx, 186 p. ; 25 cm
シリーズ名: The Kluwer international series in engineering and computer science ; SECS 201 . VLSI, computer architecture and digital signal processing
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目次情報: 続きを見る
List of Figures
List of Tables
Foreword
Introduction / 1：
Experimental Procedure / 2：
Frequency Domain Processing / 3：
The SDCN Algorithm / 4：
The CDCN Algorithm / 5：
Other Algorithms / 6：
Frequency Normalization / 7：
Summary of Results / 8：
Conclusions / 9：
Glossary / Appendix I：
Signal Processing in Sphinx / Appendix II：
The Bilinear Transform / Appendix III：
Spectral Estimation Issues / Appendix IV：
MMSE Estimation in the CDCN Algorithm / Appendix V：
Maximum Likelihood via the EM Algorithm / Appendix VI：
Estimation of Noise and Spectral Tilt / Appendix VII：
Vocabulary and Pronunciation Dictionary / Appendix VIII：
References
Index
List of Figures
List of Tables
Foreword
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