Speech communications: human and machine
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Piscataway, NJ
IEEE Press
2000
|
Ausgabe: | 2. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | 1. Aufl. u.d.T.: O'Shaughnessy, Douglas: Speech communication |
Beschreibung: | XXV, 547 S. graph. Darst. |
ISBN: | 0780334493 |
Internformat
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035 | |a (DE-599)BVBBV014119439 | ||
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100 | 1 | |a O'Shaughnessy, Douglas |d 1950- |e Verfasser |4 aut | |
245 | 1 | 0 | |a Speech communications |b human and machine |c Douglas O'Shaugnessy |
250 | |a 2. ed. | ||
264 | 1 | |a Piscataway, NJ |b IEEE Press |c 2000 | |
300 | |a XXV, 547 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a 1. Aufl. u.d.T.: O'Shaughnessy, Douglas: Speech communication | ||
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Datensatz im Suchindex
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adam_text | Contents
PREFACE
xvii
ACKNOWLEDGMENTS
xxi
ACRONYMS IN SPEECH COMMUNICATIONS
xxiii
IMPORTANT DEVELOPMENTS IN SPEECH COMMUNICATIONS
xxv
CHAPTER
1
Introduction
1
1.1
What Is Speech Communication?
1
1.2
Developments in Speech Communication
1
1.3
Outline of the Book
2
1.3.1
Production of Speech
3
1.3.2
Sound Perception
3
1.3.3
Speech Analysis
3
1.3.4
Speech Coding
4
1.3.5 Speech Enhancement
S
1.3.6
Speech Synthesis
6
1.3.7
Speech and Speaker Recognition
б
1.4
Other Topics
7
CHAPTER
2
Review of Mathematics for Speech Processing
9
2.1
Mathematical Preliminaries
9
2.1.1
Number Representations
9
2.1.2
Matrix Arithmetic
10
2.2
Signals and Linear Systems
12
2.2.1
Simple Signals
13
2.2.2
Filtering and Convolution
16
vfi
Contents
2.3
Frequency Analysis
16
2.3.1
Fourier Transform
17
2.3.2
Spectra and Correlation
18
2.3.3
Laplace Transform: Poles and Zeros
18
2.4
Circuits
19
2.5
Discrete-Time Signals and Systems
20
2.5.1
Sampling
20
2.5.2
Frequency Transforms of Discrete-Time Signals
22
2.5.3
Decimation and Interpolation
23
2.6
Filters
25
2.6.1
Bandpass Filters
26
2.6.2
Digital Filters
26
2.6.3
Difference Equations and Filter Structures
27
2.7
Probability and Statistics
29
2.7.1
Probability Densities and Histograms
30
2.7.2
Averages and Variances
31
2.7.3
Gaussian Probability Density
31
2.7.4
Joint Probability
32
2.7.5
Noise
33
2.8
Summary
33
CHAPTER
3
Speech Production and Acoustic Phonetics
35
3.1
Introduction
35
3.2
Anatomy and Physiology of the Speech Organs
37
3.2.1
The Lungs and the Thorax
38
3.2.2
Larynx and Vocal Folds (Cords)
39
3.2.3
Vocal Tract
45
3.3
Articulatory Phonetics
48
3.3.1
Manner of Articulation SO
3.3.2
Structure of the Syllable
52
3.3.3
Voicing
52
3.3.4
Place of Articulation
53
3.3.5
Phonemes in Other Languages
55
3.3.6
Articulatory Models
55
3.4
Acoustic Phonetics
56
3.4.1
Spectrograms
56
3.4.2
Vowels
57
3.4.3
Diphthongs
60
3.4.4
Glides and Liquids
62
3.4.5
Nasals
64
3.4.6
Fricatives
65
3.4.7
Stops (Plosives)
65
3.4.8
Variants of Normal Speech
67
3.5
Acoustic Theory of Speech Production
68
3.5.1
Acoustics of the Excitation Source
68
3.5.2
Acoustics of the Vocal Tract
70
Contents
¡x
3.5.3 Transmission Line Analog
of the Vocal Tract
78
3.5.4
Effects of Losses in the Vocal Tract
86
3.5.5
Radiation at the Lips
87
3.5.6
Model of Glottal Excitation
87
3.5.7
Quantal Theory of Speech Production
88
3.6
Practical Vocal Tract Models for Speech Analysis
and Synthesis
88
3.6.1
Articulatory Model
89
3.6.2
Terminal-Analog Model
93
3.7
Coarticulation
95
3.7.1
Where Does Coarticulation Occur?
96
3.7.2
Coarticulation Effects for Different Articulators
96
3.7.3
Invariant Features
98
3.7.4
Effects of Coarticulation on Duration
100
3.7.5
Models for Coarticulation
100
3.8
Prosody (Suprasegmentals)
101
3.8.1
Duration
102
3.8.2
Effects of Stress and Speaking Rate
103
3.8.3
Fundamental Frequency (F0)
104
3.9
Conclusion
107
Problems
107
CHAPTER
4
Hearing
109
4.1
Introduction
109
4.2
Anatomy and Physiology of the Ear
109
4.2.1
Outer Ear
110
4.2.2
Middle Ear
111
4.2.3
Inner Ear 111
4.2.4
Basilar
Membrane (BM) Behavior
113
4.2.5
Electrical Activity in the Auditory Neurons
115
4.2.6
Adaptation
119
4.3
Sound Perception
119
4.3.1
Auditory Psychophysics
120
4.3.2
Thresholds
120
4.3.3
lust-Noticeable Differences (JNDs)
122
4.3.4
Pitch Perception
123
4.3.5
Masking
125
4.3.6
Critical Bands
127
4.3.7
Nonsimultaneous or Temporal Masking
128
4.3.8
Origins of Masking
130
4.3.9
Release from Masking
(ţ)
130
4.3.10
Sound Localization
(ţ)
131
4.4
Response of the Ear to Complex Stimuli
131
4.4.1
Speech Stimuli (t)
132
4.4.2
Masking Due to Complex Stimuli
({) 132
4.4.3
Adaptation
<♦) 133
4.4.4
Just-Notkeable Differences (JNDs) in Speech
134
Contents
4.4.5
Timing
136
4.4.6
Separating Sound Sources
137
4.5
Conclusion
138
Problems
138
CHAPTER
5
Speech Perception
141
5.1
Introduction
141
5.2
Perceptually-Important Features of Speech Signals
142
5.2.1
Synthetic vs. Natural Speech
143
5.2.2
Redundancy in Speech
143
5.3
Models of Speech Perception
144
5.3.1
Categorical Perception
144
5.3.2
Distinctive Features
145
5.3.3
Active Models
146
5.3.4
Passive Models
148
5.4
Vowel Perception
150
5.4.1
Perceived
Formant
Location in Synthetic Vowels
150
5.4.2
Context Normalization
150
5.4.3
Coarticulation Effects
151
5.5
Consonant Perception
152
5.5.1
Perception of the Manner of Articulation Feature
152
5.5.2
Perception of Place of Articulation of Consonants
154
5.5.3
Perception of Voicing in Obstruents
158
5.6
Duration as a Phonemic Cue
160
5.6.1
Manner Cues
160
5.6.2
Place Cues
161
5.6.3
Speaking Rate Effects
161
5.7
Intonation: Perception of Prosody
162
5.7.1
Stress: Lexical and Sentential
163
5.7.2
Acoustic Correlates of Stress
164
5.7.3
Perception of Syntactic Features
165
5.7.4
Perceptually Relevant Pitch Movements
168
5.8
Other Aspects of Speech Perception
(ţ)
168
5.8.1
Adaptation Studies
168
5.8.2
Dichotic Studies
169
5.8.3
Phase Effects
169
5.8.4
Word and Syllable Effects
170
5.8.5
Perception of Distorted Speech
170
5.8.6
Speech Perception by
nie
Handicapped
171
5.9
Conclusion
171
Problems
172
CHAPTER
6
Speech Analysis
173
6.1
Introduction
173
6.2
Short-Time Speech Analysis
174
6.2.1
Windowing
175
6.2.2
Spectra of Windows: Wide- and Narrow-Band Spectrograms
176
Contents
6.3 Time-Domain Parameters 179
6.3.1 Signal
Analysis in the Time
Domain 179
6.3.2
Short-Time Average
Energy
and Magnitude
180
6.3.3
Short-Time Average Zero-Crossing Rate (ZCR)
181
6.3.4
Short-Time Autocorrelation Function
183
6.4
Frequency-Domain (Spectral) Parameters
185
6.4.1
Filter-Bank Analysis
186
6.4.2
Short-Time Fourier Transform Analysis
186
6.4.3
Spectral Displays
188
6.4.4
Formant
Estimation and Tracking
189
6.4.5
Other Spectral Methods
(Î)
191
6.4.6
Energy Separation (J)
191
6.5
Linear Predictive Coding (LPC) Analysis
192
6.5.1
Basic Principles of LPC
192
6.5.2
Least-Squares Autocorrelation Method
193
6.5.3
Least-Squares Covariance Method
196
6.5.4
Computational Considerations
197
6.5.5
Spectral Estimation via LPC
198
6.5.6
Updating the LPC Model Sample by Sample
202
6.5.7
Transversal Predictors
202
6.5.8
Lattice LPC Models
203
6.5.9
Window Considerations
206
6.5.10
Modifications to Standard LPC
207
6.5.11
Emphasizing Low Frequencies
208
6.5.12
Pole-Zero LPC Models
209
6.6
Cepstral Analysis
210
6.6.1
Mathematical Details of Cepstral Analysis
211
6.6.2
Applications for the Cepstrum
212
6.6.3
Mel-Scale Cepstrum
214
6.7
Other Spectral Estimation Methods
(ţ)
215
6.7.1
Karhunen-Loeve Transform (KLT)
215
6.7.2
Wavelets
216
6.7.3
Wigner Distribution
216
6.7.4
Other Recent Techniques
217
6.8
F0 ( Pitch ) Estimation
217
6.8.1
Time-Domain F0 Techniques
218
6.8.2
Short-Time Spectral Techniques
219
6.9
Robust Analysis
222
6.10
Reduction of Information
222
6.10.1
Taking Advantage of Gradual Vocal Tract Motion
223
6.10.2
Smoothing: Linear and Nonlinear
224
6.11
Summary
225
Problems
226
CHAPTER? Coding of Speech Signals
229
7.1
Introduction
229
7.1.1
Coding Noise
229
7.1.2
Applications
230
ni
Contents
7.1.3
Quality
230
7.1.4
Classes of Coders
231
7.1.5
Chapter Overview
231
7.2
Quantization
232
7.2.1
Quantization Error or Noise
233
7.2.2
Bit Protection
235
7.2.3
Signal-to-Noise Ratio
(SNR)
236
7.2.4
Nonuniform
Quantization
237
7.2.5
Relationship of Bandwidth and Noise to Coding Rate
240
7.2.6
Vector Quantization (VQ)
241
7.3
Speech Redundancies (Characteristics to Exploit)
245
7.4
Measures to Evaluate Speech Quality
245
7.5
Time-Domain Waveform Coding
246
7.5.1
Basic Time-Adaptive Waveform Coding
247
7.5.2
Exploiting Properties of the Spectral Envelope
250
7.5.3
Exploiting the Periodicity of Voiced Speech
253
7.5.4
Exploiting Auditory Limitations (Noise Shaping)
256
7.6
Linear Predictive Coding (LPC)
258
7.6.1
Linear Delta Modulation (LDM)
260
7.6.2
Adaptive Delta Modulation (ADM)
262
7.6.3
Adaptive Differential Pulse-Code Modulation (ADPCM)
264
7.6.4
Linear Predictive Coders (LPC) vs. Linear Predictive
Analysis-by-Synthesis (LPAS)
266
7.6.5
Equivalent Forms for LPC Coefficients
267
7.6.6
Line Spectrum Pairs/Frequencies
268
7.6.7
Parameter Updating and Transmission
269
7.6.8
Variable-Frame-Rate (VFR) Transmission
269
7.6.9
Transmission Details
270
7.6.10
Time-Varying LPC Coefficients (J)
270
7.6.11
Different Excitation Models
271
7.6.12
Waveform Interpolation
277
7.7
Spectral (Frequency-Domain) Coders
278
7.7.1
Filter Bank Analysis
278
7.7.2
Sub-Band Coders (SBC)
280
7.7.3
Adaptive Transform Coders
(АТС)
284
7.7.4
Harmonic Coding
289
7.8
Other Vocoders (Non-LP Source Voice Coders)
(ţ)
295
7.8.1
Phase Vocoder
296
7.8.2
Channel Vocoders
298
7.8.3
Excitation for Vocoders
299
7.8.4
Homomorphic (Cepstral) Vocoder
300
7.8.5
Other Vocoders
301
7.9
Vector Quantization (VQ) Coders
302
7.9.1
Split VQ Coders
303
7.9.2
Gain/Shape Vector Quantization
303
7.9.3
Other Types of Vector Quantization
304
7.9.4
Vector Quantization of LPC
307
7.9.5 Code-Excited Linear Prediction (CELP)
308
7.9.6
Very-Low-Rate LPC Vocoders
312
Contents
xiii
7.10 Network and Application
Considerations
313
7.10.1 Packet Transmission 314
7.10.2
Time Assignment
Speech Interpolation
(TASI)
315
7.10.3
Embedded Coding
316
7.10.4 Tandeming
of
Coders
(î)
317
7.11
Hardware Implementation: Integrated Circuits
318
7.12
Summary
319
Problems
320
CHAPTER
8
Speech Enhancement
323
8.1
Introduction
323
8.2
Background
324
8.3
Nature of Interfering Sounds
325
8.4
Speech Enhancement
(SE)
Techniques
327
8.4.1
Spectral Subtraction and Filtering
327
8.4.2
Harmonic Filtering
327
8.4.2
Parametric Resynthesis
327
8.5
Spectral Subtraction
(SS)
328
8.6
Filtering and Adaptive Noise Cancellation
329
8.6.1
Filtering
329
8.6.2
Multi-Microphone Adaptive Noise Cancellation
(ANC)
330
8.7
Methods Involving Fundamental
Frequency Tracking
333
8.8
Enhancement by Resynthesis
335
8.9
Summary
336
CHAPTER
9
Speech Synthesis
337
9.1
Introduction
337
9.2
Principles of Speech Synthesis
338
9.2.1
Types of Stored Speech Units to Concatenate
339
9.2.2
Memory Size
341
9.2.3
Synthesis Method
343
9.2.4
Limited-Text (Voice-Response) Systems
343
9.2.5
Unrestricted-Text (TTS) Systems
344
9.3
Synthesizer Methods
346
9.3.1
Articulatory Synthesis (J)
346
9.3.2
Formant
Synthesis
349
9.3.3
Linear Predictive Coding (LPC) Synthesis
352
9.3.4
Specifying Parameter Trajectories
φ
353
9.3.5
Interrarne
Parameter Updating
φ
355
9.3.6
Excitation Modeling
φ
356
9.3.7
Waveform Concatenation
359
9.4
Synthesis of Intonation
360
9.5
Speech Synthesis for Different Speakers
363
Contents
9.6 Speech
Synthesis in Other Languages
364
9.7 Evaluation
of TTS Systems
364
9.8
Practical Speech Synthesis
365
9.9
Conclusion
365
Problems
366
CHAPTER
10
Automatic Speech Recognition
367
10.1
Introduction
367
10.1.1
ASR Search: Vast and Expensive
367
10.1.2
Variability in Speech Signals
369
10.1.3
Segmenting Speech into Smaller Units
369
10.1.4
Performance Evaluation
370
10.1.5
Databases for Speech Recognition
371
10.2
Basic Pattern Recognition Approach
372
10.2.1
Pattern Recognition Methods
372
10.2.2
Different Viewpoints Toward ASR
373
10.3
Preprocessing
375
10.4
Parametric Representation
375
10.4.1
Parameters Used in Recognition
377
10.4.2
Feature Extraction
377
10.5
Evaluating the Similarity of Speech Patterns
378
10.5.1
Frame-Based Distance Measures
379
10.5.2
Making ASR Decisions
384
10.6
Accommodating Both Spectral and Temporal
Variability
386
10.6.1
Segmenting Speech into Smaller Units
387
10.6.2
Dynamic Time Warping
389
10.6.3
Applying Vector Quantization to ASR
399
10.7
Networks for Speech Recognition
402
10.7.1
Hidden Markov Models (HMMs)
402
10.8
Adapting to Variability in Speech
412
10.8.1
Intraspeaker Variability (Speaker Freedom)
412
10.8.2
Interspeaker
Variability (Everybody s Different)
412
10.8.3
Environmental Variability (Noise Robustness)
415
10.9
Language Models (LMs)
417
10.9.1
Grammars in ASR
417
10.9.2
Integrating Language Models into ASR
418
10.10
Search Design
420
10.10.1
Efficient Searches
420
10.10.2
Allowing Vocabulary Freedom
423
10.10.3
Out-of-Vocabulary Woids
424
10.11
Artificial Neural Networks
424
10.11.1
Training ANNs
425
10.11.2
Accommodating Timing in ANNs
426
10.12
Expert-System Approach to ASR
427
10.12.1
Segmenting Speech into Syllables
427
Contents
10.12.2
Segmentation
of Continuous Speech into Phones
428
10.12.3
Labeling Phones
430
10.12.4
Phonological Rules
431
10.12.5
Using Prosodies to Aid Recognition
432
10.13
Commercial Systems
432
10.14
Summary of Current ASR Design
433
10.15
Conclusion
433
Problems
434
CHAPTER
11
Speaker Recognition
437
11.1
Introduction
437
11.2
Verification vs. Recognition
438
11.3
Recognition Techniques
439
11.3.1
Model Evaluation
440
U.3.2 Text Dependence
440
11.3.3
Statistical vs. Dynamic Features
441
11.3.4
Stochastic Models
443
11.3.5
Vector Quantization
443
11.3.6
Similarity and Distance Measures
445
11.3.7
Cepstral Analysis
447
11.3.8
Orthogonal LPC Parameters
φ
447
11.3.9
Neural Network Approaches
449
11.4
Features that Distinguish Speakers
450
11.4.1
Measures of the Effectiveness of Features for Recognition
450
11.4.2
Techniques to Choose Features
451
і
1.4.3
Spectral Features
452
11.4.4
Prosodie
Features
452
11.5
System Design
453
11.5.1
Data Collection
453
11.5.2
Sequential Decision Strategy
454
11.5.3
Multiple-Stage Recognition
454
11.5.4
Effects of Different Communication Channels
φ
455
11.6
Language and Accent Identification
456
11.7
Speaker Recognition by Humans
457
11.8
Conclusion
458
Problems
458
APPENDIX: Computer Sites for Help on Speech Communication
461
REFERENCES
469
INDEX
537
ABOUT THE AUTHOR
547
|
any_adam_object | 1 |
author | O'Shaughnessy, Douglas 1950- |
author_facet | O'Shaughnessy, Douglas 1950- |
author_role | aut |
author_sort | O'Shaughnessy, Douglas 1950- |
author_variant | d o do |
building | Verbundindex |
bvnumber | BV014119439 |
classification_rvk | ST 306 ZN 6070 |
ctrlnum | (OCoLC)174415813 (DE-599)BVBBV014119439 |
dewey-full | 302.2244 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 302 - Social interaction |
dewey-raw | 302.2244 |
dewey-search | 302.2244 |
dewey-sort | 3302.2244 |
dewey-tens | 300 - Social sciences |
discipline | Informatik Soziologie Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 2. ed. |
format | Book |
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id | DE-604.BV014119439 |
illustrated | Illustrated |
indexdate | 2024-07-09T18:58:00Z |
institution | BVB |
isbn | 0780334493 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009674814 |
oclc_num | 174415813 |
open_access_boolean | |
owner | DE-29T DE-355 DE-BY-UBR DE-83 |
owner_facet | DE-29T DE-355 DE-BY-UBR DE-83 |
physical | XXV, 547 S. graph. Darst. |
publishDate | 2000 |
publishDateSearch | 2000 |
publishDateSort | 2000 |
publisher | IEEE Press |
record_format | marc |
spelling | O'Shaughnessy, Douglas 1950- Verfasser aut Speech communications human and machine Douglas O'Shaugnessy 2. ed. Piscataway, NJ IEEE Press 2000 XXV, 547 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier 1. Aufl. u.d.T.: O'Shaughnessy, Douglas: Speech communication Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Sprache (DE-588)4056449-6 gnd rswk-swf Kommunikation (DE-588)4031883-7 gnd rswk-swf Kommunikation (DE-588)4031883-7 s Sprache (DE-588)4056449-6 s Sprachverarbeitung (DE-588)4116579-2 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009674814&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | O'Shaughnessy, Douglas 1950- Speech communications human and machine Sprachverarbeitung (DE-588)4116579-2 gnd Sprache (DE-588)4056449-6 gnd Kommunikation (DE-588)4031883-7 gnd |
subject_GND | (DE-588)4116579-2 (DE-588)4056449-6 (DE-588)4031883-7 |
title | Speech communications human and machine |
title_auth | Speech communications human and machine |
title_exact_search | Speech communications human and machine |
title_full | Speech communications human and machine Douglas O'Shaugnessy |
title_fullStr | Speech communications human and machine Douglas O'Shaugnessy |
title_full_unstemmed | Speech communications human and machine Douglas O'Shaugnessy |
title_short | Speech communications |
title_sort | speech communications human and machine |
title_sub | human and machine |
topic | Sprachverarbeitung (DE-588)4116579-2 gnd Sprache (DE-588)4056449-6 gnd Kommunikation (DE-588)4031883-7 gnd |
topic_facet | Sprachverarbeitung Sprache Kommunikation |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009674814&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT oshaughnessydouglas speechcommunicationshumanandmachine |