《數字語音處理理論與套用（英文版）》是2011年1月電子工業出版社出版的圖書，作者是Lawrence R· Rabiner。
基本介紹
- 書名：數字語音處理理論與套用（英文版）
- 作者：Lawrence R. Rabiner
- ISBN：9787121124099
- 頁數：1060頁
- 定價：118元
- 出版社：電子工業出版社
- 出版時間：2011年1月
- 開本：16開
內容簡介,圖書目錄,
內容簡介
本書是作者繼1978年版經典教材《語音信號數字處理》之後的又一著作，全書除有簡練精闢的基礎翻囑訂知識介紹外，系統介紹了近30年來語音信號處理的新理論、新方法和在套用上的新進展。全書共14章，分四部分：愉鞏第一部分介紹語音信臘戒抹號處理基礎知識，主要包括數位訊號處理基礎、語音產生機理、(人的)聽覺和仔講射符聽感知機理和聲道中的聲傳播原理；第二部分介紹語音信號的時頻旋犁舉域表示和分析；第三部分介紹語音參數估甩廈屑厚計算法；第四部分介紹語音信號處理的套用，主要包括語音編碼、語音和音頻信號的頻域編碼、語音合成、語音識別和自然語言理解。
讀者對象：本書可供高等院校通信、電子、信息、計算機等專業作為研究生和本科生教材，也可以供有關科研和工程技術人員參考，是一本既有系統的基礎理論講解、市炒拒又有最新研究前沿介紹並密切結合套用發展的教材。
圖書目錄
Contents
Preface
CHAPTER 1 Introduction to Digital SpeechProcessing 1
1.1 The SpeechSignal 3
1.2 The SpeechStack 8
1.3 Applicationsof Digital SpeechProcessing 10
1.4 Commentonthe References 15
1.5 Summary 17
CHAPTER 2 Reviewof Fundamentalsof DigitalSignalProcessing 18
2.1 Introduction 18
2.2 Discrete-Time Signals and Systems 18
2.3 Transform Representation of Signals and Systems 22
2.4 Fundamentalsof DigitalFilters 33
2.5 Sampling 44
2.6 Summary 56
Problems 56
CHAPTER 3 Fundamentalsof Human SpeechProduction 67
3.1 Introduction 67
3.2 The ProcessofSpeechProduction 68
3.3 Short-TimeFourierRepresentationofSpeech 81
3.4 AcousticPhonetics 86
3.5 DistinctiveFeaturesof thePhonemesof American English 108
3.6 Summary 110
Problems 110
CHAPTER 4 Hearing,Auditory Models,and SpeechPerception 124
4.1 Introduction 124
4.2 The SpeechChain 125
4.3 Anatomy andFunctionof theEar 127
4.4 The Perception of Sound 133
4.5 Auditory Models 150
4.6 Human SpeechPerceptionExperiments 158
4.7 MeasurementofSpeechQualityand Intelligibility 162
4.8 Summary 166
Problems 167
CHAPTER 5 Sound Propagationinthe HumanVocalTract 170
5.1 The AcousticTheoryofSpeechProduction 170
5.2 LosslessTube Models 200
5.3 Digital Models forSampled SpeechSignals 219
5.4 Summary 228
Problems 228
CHAPTER 6 Time-DomainMethods for SpeechProcessing 239
6.1 Introduction 239
6.2 Short-TimeAnalysisofSpeech 242
6.3 Short-TimeEnergyand Short-TimeMagnitude 248
6.4 Short-TimeZero-Crossing Rate 257
6.5 The Short-TimeAutocorrelation Function 265
6.6 The Modied Short-TimeAutocorrelation Function 273
6.7 The Short-TimeAverage Magnitude DifferenceFunction 275
6.8 Summary 277
Problems 278
CHAPTER 7 Frequency-DomainRepresentations 287
7.1 Introduction 287
7.2 Discrete-TimeFourierAnalysis 289
7.3 Short-TimeFourierAnalysis 292
7.4 SpectrographicDisplays 312
7.5 OverlapAddition Methodof Synthesis 319
7.6 Filter Bank SummationMethodof Synthesis 331
7.7 Time-DecimatedFilter Banks 340
7.8 Two-ChannelFilter Banks 348
7.9 Implementationof theFBS Method Usingthe FFT 358
7.10 OLARevisited 365
7.11 Modicationsof theSTFT 367
7.12 Summary 379
Problems 380
CHAPTER 8 TheCepstrumand Homomorphic SpeechProcessing 399
8.1 Introduction 399
8.2 HomomorphicSystems forConvolution 401
8.3 HomomorphicAnalysisofthe SpeechModel 417
8.4 Computingthe Short-TimeCepstrumand ComplexCepstrum of Speech 429
8.5 HomomorphicFilteringofNatural Speech 440
8.6 CepstrumAnalysisofAll-Pole Models 456
8.7 CepstrumDistanceMeasures 459
8.8 Summary 466
Problems 466
CHAPTER 9 Linear Predictive Analysisof SpeechSignals 473
9.1 Introduction 473
9.2 Basic Principles of Linear Predictive Analysis 474
9.3 Computationofthe Gainfor theModel 486
9.4 FrequencyDomainInterpretationsof Linear PredictiveAnalysis 490
9.5 Solutionofthe LPCEquations 505
9.6 The Prediction ErrorSignal 527
9.7SomePropertiesofthe LPCPolynomial A(z) 538
9.8 RelationofLinear Predictive Analysisto LosslessTube Models 546
9.9 Alternative Representationsof theLPParameters 551
9.10Summary 560Problems 560
CHAPTER10Algorithms for Estimating SpeechParameters 578
10.1 Introduction 578
10.2 MedianSmoothing and SpeechProcessing 580
10.3 Speech-Background/SilenceDiscrimination 586
10.4 ABayesianApproach toVoiced/Unvoiced/Silence Detection 595
10.5 Pitch Period Estimation(Pitch Detection) 603
10.6 Formant Estimation 635
10.7Summary 645Problems 645
CHAPTER11DigitalCodingof SpeechSignals 663
11.1 Introduction 663
11.2 Sampling SpeechSignals 667
11.3 AStatisticalModelfor Speech 669
11.4 Instantaneous Quantization 676
11.5 AdaptiveQuantization 706
11.6 QuantizingofSpeechModelParameters 718
11.7 GeneralTheoryof DifferentialQuantization 732
11.8 Delta Modulation 743
11.9 DifferentialPCM (DPCM) 759
11.10 Enhancements forADPCM Coders 768
11.11 Analysis-by-Synthesis SpeechCoders 783
11.12 Open-Loop SpeechCoders 806
11.13 Applicationsof SpeechCoders 814
11.14Summary 819Problems 820
CHAPTER12Frequency-DomainCodingof SpeechandAudio 842
12.1 Introduction 842
12.2 HistoricalPerspective 844
12.3 Subband Coding 850
12.4 AdaptiveTransform Coding 861
12.5 APerception ModelforAudioCoding 866
12.6 MPEG-1AudioCoding Standard 881
12.7 OtherAudioCoding Standards 894
12.8Summary 894Problems 895
CHAPTER13Text-to-SpeechSynthesis Methods 907
13.1 Introduction 907
13.2 Text Analysis 908
13.3 Evolutionof SpeechSynthesis Methods 914
13.4 Early SpeechSynthesis Approaches 916
13.5 UnitSelection Methods 926
13.6 TTS Future Needs 942
13.7 Visual TTS 943
13.8Summary 947Problems 947
CHAPTER14Automatic SpeechRecognition andNatural Language Understanding 950
14.1 Introduction 950
14.2 Basic ASRFormulation 952
14.3 Overall SpeechRecognition Process 953
14.4 Buildinga SpeechRecognition System 954
14.5 The DecisionProcessesinASR 957
14.6 Step3:The Search Problem 971
14.7 SimpleASR System: IsolatedDigit Recognition 972
14.8 Performance Evaluationof SpeechRecognizers 974
14.9 SpokenLanguage Understanding 977
14.10 Dialog Managementand SpokenLanguage Generation 980
14.11 User Interfaces 983
14.12 MultimodalUserInterfaces 984
14.13Summary 984Problems 985
Appendices
A SpeechandAudioProcessing Demonstrations 993
B SolutionofFrequency-DomainDifferentialEquations 1005
Bibliography 1008
Index 1031
4.1 Introduction 124
4.2 The SpeechChain 125
4.3 Anatomy andFunctionof theEar 127
4.4 The Perception of Sound 133
4.5 Auditory Models 150
4.6 Human SpeechPerceptionExperiments 158
4.7 MeasurementofSpeechQualityand Intelligibility 162
4.8 Summary 166
Problems 167
CHAPTER 5 Sound Propagationinthe HumanVocalTract 170
5.1 The AcousticTheoryofSpeechProduction 170
5.2 LosslessTube Models 200
5.3 Digital Models forSampled SpeechSignals 219
5.4 Summary 228
Problems 228
CHAPTER 6 Time-DomainMethods for SpeechProcessing 239
6.1 Introduction 239
6.2 Short-TimeAnalysisofSpeech 242
6.3 Short-TimeEnergyand Short-TimeMagnitude 248
6.4 Short-TimeZero-Crossing Rate 257
6.5 The Short-TimeAutocorrelation Function 265
6.6 The Modied Short-TimeAutocorrelation Function 273
6.7 The Short-TimeAverage Magnitude DifferenceFunction 275
6.8 Summary 277
Problems 278
CHAPTER 7 Frequency-DomainRepresentations 287
7.1 Introduction 287
7.2 Discrete-TimeFourierAnalysis 289
7.3 Short-TimeFourierAnalysis 292
7.4 SpectrographicDisplays 312
7.5 OverlapAddition Methodof Synthesis 319
7.6 Filter Bank SummationMethodof Synthesis 331
7.7 Time-DecimatedFilter Banks 340
7.8 Two-ChannelFilter Banks 348
7.9 Implementationof theFBS Method Usingthe FFT 358
7.10 OLARevisited 365
7.11 Modicationsof theSTFT 367
7.12 Summary 379
Problems 380
CHAPTER 8 TheCepstrumand Homomorphic SpeechProcessing 399
8.1 Introduction 399
8.2 HomomorphicSystems forConvolution 401
8.3 HomomorphicAnalysisofthe SpeechModel 417
8.4 Computingthe Short-TimeCepstrumand ComplexCepstrum of Speech 429
8.5 HomomorphicFilteringofNatural Speech 440
8.6 CepstrumAnalysisofAll-Pole Models 456
8.7 CepstrumDistanceMeasures 459
8.8 Summary 466
Problems 466
CHAPTER 9 Linear Predictive Analysisof SpeechSignals 473
9.1 Introduction 473
9.2 Basic Principles of Linear Predictive Analysis 474
9.3 Computationofthe Gainfor theModel 486
9.4 FrequencyDomainInterpretationsof Linear PredictiveAnalysis 490
9.5 Solutionofthe LPCEquations 505
9.6 The Prediction ErrorSignal 527
9.7SomePropertiesofthe LPCPolynomial A(z) 538
9.8 RelationofLinear Predictive Analysisto LosslessTube Models 546
9.9 Alternative Representationsof theLPParameters 551
9.10Summary 560Problems 560
CHAPTER10Algorithms for Estimating SpeechParameters 578
10.1 Introduction 578
10.2 MedianSmoothing and SpeechProcessing 580
10.3 Speech-Background/SilenceDiscrimination 586
10.4 ABayesianApproach toVoiced/Unvoiced/Silence Detection 595
10.5 Pitch Period Estimation(Pitch Detection) 603
10.6 Formant Estimation 635
10.7Summary 645Problems 645
CHAPTER11DigitalCodingof SpeechSignals 663
11.1 Introduction 663
11.2 Sampling SpeechSignals 667
11.3 AStatisticalModelfor Speech 669
11.4 Instantaneous Quantization 676
11.5 AdaptiveQuantization 706
11.6 QuantizingofSpeechModelParameters 718
11.7 GeneralTheoryof DifferentialQuantization 732
11.8 Delta Modulation 743
11.9 DifferentialPCM (DPCM) 759
11.10 Enhancements forADPCM Coders 768
11.11 Analysis-by-Synthesis SpeechCoders 783
11.12 Open-Loop SpeechCoders 806
11.13 Applicationsof SpeechCoders 814
11.14Summary 819Problems 820
CHAPTER12Frequency-DomainCodingof SpeechandAudio 842
12.1 Introduction 842
12.2 HistoricalPerspective 844
12.3 Subband Coding 850
12.4 AdaptiveTransform Coding 861
12.5 APerception ModelforAudioCoding 866
12.6 MPEG-1AudioCoding Standard 881
12.7 OtherAudioCoding Standards 894
12.8Summary 894Problems 895
CHAPTER13Text-to-SpeechSynthesis Methods 907
13.1 Introduction 907
13.2 Text Analysis 908
13.3 Evolutionof SpeechSynthesis Methods 914
13.4 Early SpeechSynthesis Approaches 916
13.5 UnitSelection Methods 926
13.6 TTS Future Needs 942
13.7 Visual TTS 943
13.8Summary 947Problems 947
CHAPTER14Automatic SpeechRecognition andNatural Language Understanding 950
14.1 Introduction 950
14.2 Basic ASRFormulation 952
14.3 Overall SpeechRecognition Process 953
14.4 Buildinga SpeechRecognition System 954
14.5 The DecisionProcessesinASR 957
14.6 Step3:The Search Problem 971
14.7 SimpleASR System: IsolatedDigit Recognition 972
14.8 Performance Evaluationof SpeechRecognizers 974
14.9 SpokenLanguage Understanding 977
14.10 Dialog Managementand SpokenLanguage Generation 980
14.11 User Interfaces 983
14.12 MultimodalUserInterfaces 984
14.13Summary 984Problems 985
Appendices
A SpeechandAudioProcessing Demonstrations 993
B SolutionofFrequency-DomainDifferentialEquations 1005
Bibliography 1008
Index 1031
