Voice Compression and Communications: Principles and Applications for Fixed and Wireless Channels

ISBN-13: 9780471150398 / Angielski / Twarda / 2001 / 672 str.

Lajos Hanzo; Jason P. Woodward; F. Clare A. Somerville

Opis

Up-to-date, expert coverage of topics in wireless voice communications
Voice communication is the most important facet of mobile radio service. Even when the predicted surge of wireless data and Internet services becomes a reality, voice will remain the most natural means of human communication.
Voice Compression and Communications details issues in wireless voice communications and treats compression, channel coding, and wireless transmission as a joint subject. Part I covers background material, whereas Part II provides detailed information on both proprietary and standardized analysis-by-synthesis codecs, including the speech codecs of virtually all existing wireline-based and wireless systems. Parts III and IV discuss mainly research-based wideband, audio, as well as very low-rate schemes likely to find their way into future standards.
Voice Compression and Communications describes fundamental concepts in a non-mathematical way early in the book for those with only a background knowledge of signal processing and communications. More advanced readers will find detailed discussions of theoretical principles, future concepts, and solutions to various specific wireless voice communications problems.

Recenzje

"...focuses on voice compression issues in wireless communications." ( SciTech Book News, Vol. 25, No. 4, December 2001)

"...a treatise on voice compression theory and practice that comprehensively treats this field?s evolution and current state of the art." (Choice, Vol. 39, No. 7, March 2002)

"...a definitive reference...no other single reference packs as much valuable and divers information about speech coding in a single volume...a truly invaluable reference..." (Analog Dialogue, Vol. 36, No. 6, November/December 2002)

Spis treści

Preface xxiii

Acknowledgments xxix

Part I Speech Signals and Waveform Coding 1

Chapter 1 Speech Signals and Introduction to Speech Coding 3

1.1 Motivation of Speech Compression 3

1.2 Basic Characterization of Speech Signals 4

1.3 Classification of Speech Codecs 7

1.4 Waveform Coding 11

1.5 Chapter Summary 26

Chapter 2 Predictive Coding 27

2.1 Forward Predictive Coding 27

2.2 DPCM Codec Schematic 28

2.3 Predictor Design 29

2.4 Adaptive One–Word–Memory Quantization 36

2.5 DPCM Performance 37

2.6 Backward–Adaptive Prediction 39

2.7 The 32kbps G.721 ADPCM Codec 43

2.8 Subjective and Objective Speech Quality 49

2.9 Variable–Rate G.726 and Embedded G.727 ADPCM 50

2.10 Rate–Distortion in Predictive Coding 58

2.11 Chapter Summary 62

Part II Analysis by Synthesis Coding 63

Chapter 3 Analysis–by–Synthesis Principles 65

3.1 Motivation 65

3.2 Analysis–by–Synthesis Codec Structure 66

3.3 The Short–Term Synthesis Filter 67

3.4 Long–Term Prediction 70

3.5 Excitation Models 78

3.6 Adaptive Short–Term and Long–Term Post–Filtering 81

3.7 Lattice–Based Linear Prediction 83

3.8 Chapter Summary 89

Chapter 4 Speech Spectral Quantization 90

4.1 Log–Area Ratios 90

4.2 Line Spectral Frequencies 95

4.3 Vector Quantization of Spectral Parameters 105

4.4 Spectral Quantizers for Wideband Speech Coding 113

4.5 Chapter Summary 126

Chapter 5 Regular Pulse Excited Coding 127

5.1 Theoretical Background 127

5.2 The 13 kbps RPE–LTP GSM Speech Encoder 133

5.3 The 13 kbps RPE–LTP GSM Speech Decoder 137

5.4 Bit Sensitivity of the 13 kbps GSM RPE–LTP Codec 140

5.5 Application Example: A Toolbox–Based Speech Transceiver 142

5.6 Chapter Summary 144

Chapter 6 Forward–Adaptive Code Excited Linear Prediction 145

6.1 Background 145

6.2 The Original CELP Approach 146

6.3 Fixed Codebook Search 149

6.4 CELP Excitation Models 151

6.5 Optimization of the CELP Codec Parameters 160

6.6 The Error–Sensitivity of CELP Codecs 175

6.7 Application Example: A Dual–Mode 3.1 kBd Speech Transceiver 187

6.8 Multi–Slot PRMA Transceiver 200

6.9 Chapter Summary 206

Chapter 7 Standard For ward–Adaptive CELP Codecs 207

7.1 Background 207

7.2 The U.S. DoD FS–1016 4.8kbits/s CELP Codec 207

7.3 The IS–54 DAMPS kbps Pan American Speech Codec 213

7.4 The 6.7 kbps Japanese Digital Cellular System′s Speech Codec 216

7.5 The Qualcomm Variable–Rate CELP Codec 218

7.6 Japanese Half–Rate Speech Codec 225

7.7 The Half–Rate GSM Codec 233

7.8 The 8kbits/s G.729 Codec 237

7.9 The Reduced Complexity G.729 Annex A Codec 256

7.10 The 12.2 kbps Enhanced Full–Rate GSM Speech Codec 259

7.11 The Enhanced Full–Rate 7.4 kbps IS–136 Speech Codec 264

7.12 The ITU G.723.1 Dual–Rate Codec 268

7.13 Chapter Summary 277

Chapter 8 Backward–Adaptive Code Excited Linear Prediction 279

8.1 Introduction 279

8.2 Motivation and Background 279

8.3 Backward–Adaptive G.728 Codec Schematic 282

8.4 Backward–Adaptive G.728 Coding Algorithm 284

8.5 Reduced–Rate G.728–Like Codec: Variable–Length Excitation Vector 298

8.6 The Effects of Long–Term Prediction 300

8.7 Closed–Loop Codebook Training 305

8.8 Reduced–Rate G.728–Like Codec II: Constant–Length Excitation Vector 309

8.9 Programmable–Rate 8–4 kbps Low–Delay CELP Codecs 310

8.10 Backward–Adaptive Error Sensitivity Issues 327

8.11 A Low–Delay Multimode Speech Transceiver 333

8.12 Chapter Summary 338

Part III Wideband Coding and Transmission 339

Chapter 9 Wideband Speech Coding 341

9.1 Sub–band–ADPCM Wideband Coding at 64 kbps 341

9.2 Wideband Transform Coding at 32 kbps 357

9.3 Sub–Band–Split Wideband CELP Codecs 360

9.4 Fullband Wideband ACELP Coding 363

9.5 A Turbo–Coded Burst–by–Burst Adaptive Wideband Speech Transceiver 368

9.6 Chapter Summary 384

Part IV Very Low–Rate Coding and Transmission 385

Chapter 10 Overview of Low–Rate Speech Coding 387

10.1 Low–Bitrate Speech Coding 387

10.2 Linear Predictive Coding Model 400

10.3 Speech Quality Measurements 403

10.4 Speech Database 406

10.5 Chapter Summary 409

Chapter 11 Linear Predictive Vocoder 411

11.1 Overview of a Linear Predictive Vocoder 411

11.2 Line Spectrum Frequencies Quantization 412

11.3 Pitch Detection 417

11.4 Unvoiced Frames 428

11.5 Voiced Frames 429

11.6 Adaptive Post–Filter 430

11.7 Pulse Dispersion Filter 432

11.8 Results for Linear Predictive Vocoder 437

11.9 Chapter Summary 440

Chapter 12 Wavelets and Pitch Detection 441

12.1 Conceptual Introduction to Wavelets 441

12.2 Introduction to Wavelet Mathematics 444

12.3 Pre–Processing the Wavelet Transform Signal 449

12.4 Voiced–Unvoiced Decision 452

12.5 Wavelet–Based Pitch Detector 453

12.6 Summary and Conclusions 460

Chapter 13 Zinc Function Excitation 461

13.1 Introduction 461

13.2 Overview of Prototype Waveform Interpolation Zinc Function Excitation 462

13.3 Zinc Function Modeling 466

13.4 Pitch Detection 470

13.5 Voiced Speech 473

13.6 Excitation Interpolation Between Prototype Segments 477

13.7 Unvoiced Speech 483

13.8 Adaptive Post–Filter 483

13.9 Results for Single Zinc Function Excitation 483

13.10 Error Sensitivity of the 1.9kbps PWI–ZFE Coder 486

13.11 Multiple Zinc Function Excitation 490

13.12 A Sixth–Rate, 3.8kbps GSM–Like Speech Transceiver 496

13.13 Chapter Summary 500

Chapter 14 Mixed–Multiband Excitation 501

14.1 Introduction 501

14.2 Overview of Mixed–Multiband Excitation 502

14.3 Finite Impulse Response Filter 504

14.4 Mixed–Multiband Excitation Encoder 507

14.5 Mixed–Multiband Excitation Decoder 510

14.6 Performance of the Mixed–Multiband Excitation Coder 513

14.7 A Higher Rate 3.85 kbps Mixed–Multiband Excitation Scheme 520

14.8 A 2.35kbit/s Joint–Detection–Based CDMA Speech Transceiver 523

14.9 Chapter Summary 530

Chapter 15 Sinusoidal Transform Coding Below 4kbps 531

15.1 Introduction 531

15.2 Sinusoidal Analysis of Speech Signals 532

15.3 Sinusoidal Synthesis of Speech Signals 534

15.4 Low–Bitrate Sinusoidal Coders 536

15.5 Incorporating Prototype Waveform Interpolation 539

15.6 Encoding the Sinusoidal Frequency Component 541

15.7 Determining the Excitation Components 543

15.8 Quantizing the Excitation Parameters 548

15.9 Sinusoidal Transform Decoder 556

15.10 Speech Coder Performance 558

15.11 Chapter Summary 563

Chapter 16 Conclusions on Low–Rate Coding 565

16.1 Overview 565

16.2 Listening Tests 565

16.3 Summary of Very Low–Rate Coding

16.4 Further Research 568

Chapter 17 Comparison of Speech Codecs and Transceivers 569

17.1 Background to Speech Quality Evaluation 569

17.2 Objective Speech Quality Measures 570

17.3 Subjective Measures 577

17.4 Comparison of Subjective and Objective Measures 578

17.5 Subjective Speech Quality of Various Codecs 580

17.6 Error Sensitivity Comparison of Various Codecs 582

17.7 Objective Speech Performance of Various Transceivers 583

Appendix A Constructing the Quadratic Spline Wavelets 589

Appendix B Zinc Function Excitation 593

Appendix C Probability Density Function for Amplitudes 597

Bibliography 601

Index 623

Author Index 631

O autorze

LAJOS HANZO has coauthored five books on mobile radio communications and published more than 300 research papers on a variety of topics in wireless multimedia communications. He holds a chair in telecommunications at the Department of Electronics and Computer Science, University of Southampton, UK, and he is an IEEE Distinguished Lecturer.
F. CLARE A. SOMERVILLE is with the Global Wireless Systems Research Department, Bell Laboratories, Swindon, UK. His current research involves real–time techniques for transmission of voice over GPRS and the resultant speech quality attained.
JASON P. WOODARD is with UbiNetics Ltd., where he is responsible for the development and implementation of various algorithms for third–generation mobile communications products.