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数字语音处理理论与应用

Lawrence R. Rabiner,Ronald W. Schafer 电子工业出版社
出版时间:

2011-1  

出版社:

电子工业出版社  

作者:

Lawrence R. Rabiner,Ronald W. Schafer  

页数:

1042  

Tag标签:

无  

内容概要

  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。

作者简介

  Lawrence R.Rabiner,美国工程院和美国科学院院士,美国声学学会、IEEE、Bell实验室、AT&T会士,以及Eta Kappa Nu、Sigma Xi、Tau Beta Pi等荣誉学会会员。曾担任美国声学学会副主席、IEEE Trans.ASSP主编和IEEE Proceedings编委会成员。其主要研究方向包括:通信、控制与信号处理、数字信号处理、数字语音处理、多媒体通信、多模态处理等。Rabiner教授于2002年从AT&T退休,随后担任Rutgers大学和加州大学圣巴巴拉分校的教授,以及Rutgers大学先进信息处理中心副主任。

书籍目录

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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就冲着L.L.Rabiner的大名买的


此书作者一辈子就专心做这个领域的研究,他的名字代表权威。搞这个领域的研究,这本书是绕不过去的。让我不满的是本书的印刷一般,装订不好,拿到手一看,纸张都参差不齐,难道是太厚导致的么?


不错的一本书,专业性很强


学习并收藏之。顺便提高英语水平


搞语音的基础知识


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