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《数字语音处理理论与应用(英文版)》是作者继1978年版经典教材《语音信号数字处理》之后的又一著作，全书除有简练精辟的基础知识介绍外，系统介绍了近30年来语音信号处理的新理论、新方法和在应用上的新进展。全书共14章，分四部分：第一部分介绍语音信号处理基础知识，主要包括数字信号处理基础、语音产生机理、(人的)听觉和听感知机理和声道中的声传播原理；第二部分介绍语音信号的时频域表示和分析；第三部分介绍语音参数估计算法；第四部分介绍语音信号处理的应用，主要包括语音编码、语音和音频信号的频域编码、语音合成、语音识别和自然语言理解。

preface
chapter 1 introduction to digital speechprocessing
1.1 the speechsignal
1.2 the speechstack
1.3 applicationsof digital speechprocessing
1.4 commentonthe references
1.5 summary
chapter 2 reviewof fundamentalsof digitalsignalprocessing
2.1 introduction
2.2 discrete-time signals and systems
2.3 transform representation of signals and systems
2.4 fundamentalsof digitalfilters
2.5 sampling
2.6 summary
problems
chapter 3 fundamentalsof human speechproduction
3.1 introduction
3.2 the processofspeechproduction
3.3 short-timefourierrepresentationofspeech

.3.4 acousticphonetics
3.5 distinctivefeaturesof thephonemesof american english
3.6 summary
problems
chapter 4 hearing,auditory models,and speechperception
4.1 introduction
4.2 the speechchain
4.3 anatomy andfunctionof theear
4.4 the perception of sound
4.5 auditory models
4.6 human speechperceptionexperiments
4.7 measurementofspeechqualityand intelligibility
4.8 summary
problems
chapter 5 sound propagationinthe humanvocaltract
5.1 the acoustictheoryofspeechproduction
5.2 losslesstube models
5.3 digital models forsampled speechsignals
5.4 summary
problems
chapter 6 time-domainmethods for speechprocessing
6.1 introduction
6.2 short-timeanalysisofspeech
6.3 short-timeenergyand short-timemagnitude
6.4 short-timezero-crossing rate
6.5 the short-timeautocorrelation function
6.6 the modied short-timeautocorrelation function
6.7 the short-timeaverage magnitude differencefunction
6.8 summary
problems
chapter 7 frequency-domainrepresentations
7.1 introduction
7.2 discrete-timefourieranalysis
7.3 short-timefourieranalysis
7.4 spectrographicdisplays
7.5 overlapaddition methodof synthesis
7.6 filter bank summationmethodof synthesis
7.7 time-decimatedfilter banks
7.8 two-channelfilter banks
7.9 implementationof thefbs method usingthe fft
7.10 olarevisited
7.11 modicationsof thestft
7.12 summary
problems
chapter 8 thecepstrumand homomorphic speechprocessing
8.1 introduction
8.2 homomorphicsystems forconvolution
8.3 homomorphicanalysisofthe speechmodel
8.4 computingthe short-timecepstrumand complexcepstrum of speech
8.5 homomorphicfilteringofnatural speech
8.6 cepstrumanalysisofall-pole models
8.7 cepstrumdistancemeasures
8.8 summary
problems
chapter 9 linear predictive analysisof speechsignals
9.1 introduction
9.2 basic principles of linear predictive analysis
9.3 computationofthe gainfor themodel
9.4 frequencydomaininterpretationsof linear predictiveanalysis
9.5 solutionofthe lpcequations
9.6 the prediction errorsignal
9.7 somepropertiesofthe lpcpolynomial a(z)
9.8 relationoflinear predictive analysisto losslesstube models
9.9 alternative representationsof thelpparameters
9.10 summary 560problems
chapter 10 algorithms for estimating speechparameters
10.1 introduction
10.2 mediansmoothing and speechprocessing
10.3 speech-background/silencediscrimination
10.4 abayesianapproach tovoiced/unvoiced/silence detection
10.5 pitch period estimation(pitch detection)
10.6 formant estimation
10.7 summary 645problems
chapter 11 digitalcodingof speechsignals
11.1 introduction
11.2 sampling speechsignals
11.3 astatisticalmodelfor speech
11.4 instantaneous quantization
11.5 adaptivequantization
11.6 quantizingofspeechmodelparameters
11.7 generaltheoryof differentialquantization
11.8 delta modulation
11.9 differentialpcm (dpcm)
11.10 enhancements foradpcm coders
11.11 analysis-by-synthesis speechcoders
11.12 open-loop speechcoders
11.13 applicationsof speechcoders
11.14 summary 819problems
chapter 12 frequency-domaincodingof speechandaudio
12.1 introduction
12.2 historicalperspective
12.3 subband coding
12.4 adaptivetransform coding
12.5 aperception modelforaudiocoding
12.6 mpeg-1audiocoding standard
12.7 otheraudiocoding standards
12.8 summary 894problems
chapter 13 text-to-speechsynthesis methods
13.1 introduction
13.2 text analysis
13.3 evolutionof speechsynthesis methods
13.4 early speechsynthesis approaches
13.5 unitselection methods
13.6 tts future needs
13.7 visual tts
13.8summary 947problems
chapter 14 automatic speechrecognition andnatural language understanding
14.1 introduction
14.2 basic asrformulation
14.3 overall speechrecognition process
14.4 buildinga speechrecognition system
14.5 the decisionprocessesinasr
14.6 step3:the search problem
14.7 simpleasr system: isolateddigit recognition
14.8 performance evaluationof speechrecognizers
14.9 spokenlanguage understanding
14.10 dialog managementand spokenlanguage generation
14.11 user interfaces
14.12 multimodaluserinterfaces
14.13 summary 984problems
appendices
a speechandaudioprocessing demonstrations
b solutionoffrequency-domaindifferentialequations
bibliography
index
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