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数字语音处理理论与应用(英文版)

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  • 大小:111.95 MB
  • 语言:中文版
  • 格式: PDF文档
  • 类别:电子信息
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关键词:语音   英文   数字   应用   处理
资源简介
数字语音处理理论与应用(英文版)
出版时间:2011年版
内容简介
  本书是作者继1978年版经典教材digital processing of speech signals之后的又一著作,本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。本书共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?、语音合成、语音识别和自然语言理解。本书可供高等院校通信、电子、信息、计算机等专业作为研究生和本科生教材,也可以供有关科研和工程技术人员参考,是一本既有系统的基础理论讲解、又有最新研究前沿介绍并密切结合应用发展的教材。
目录
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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