000 | 05832nam a2201189 i 4500 | ||
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001 | 5266102 | ||
003 | IEEE | ||
005 | 20200421114115.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 100317t20152000nyua ob 001 0 eng d | ||
020 |
_a9780470544402 _qelectronic |
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020 |
_z9780780353862 _qprint |
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020 |
_z0470544406 _qelectronic |
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024 | 7 |
_a10.1109/9780470544402 _2doi |
|
035 | _a(CaBNVSL)mat05266102 | ||
035 | _a(IDAMS)0b000064810c5d1f | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aTK7882.S65 _bD44 2000eb |
|
082 | 0 | 4 |
_a621.382/2 _222 |
100 | 1 |
_aDeller, John R., _eauthor. |
|
245 | 1 | 0 |
_aDiscrete-time processing of speech signals / _cJohn R. Deller, Jr., John H.L. Hansen, John G. Proakis. |
264 | 1 |
_aNew York : _bInstitute of Electrical and Electronics Engineers, _cc2000. |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1999] |
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300 |
_a1 PDF (xxiv, 908 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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500 | _aOriginally published: New York : Macmillan, 1993. | ||
504 | _aIncludes bibliographical references (p. 851-897) and index. | ||
505 | 0 | _aPreface to the IEEE Edition. Preface. Acronyms and Abbreviations. SIGNAL PROCESSING BACKGROUND. Propaedeutic. SPEECH PRODUCTION AND MODELLING. Fundamentals of Speech Science. Modeling Speech Production. ANALYSIS TECHNIQUES. Short-Term Processing of Speech. Linear Prediction Analysis. Cepstral Analysis. CODING, ENHANCEMENT AND QUALITY ASSESSMENT. Speech Coding and Synthesis. Speech Enhancement. Speech Quality Assessment. RECOGNITION. The Speech Recognition Problem. Dynamic Time Warping. The Hidden Markov Model. Language Modeling. The Artificial Neural Network. Index. | |
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aCommercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from speech coding for communications systems to biomedical applications of speech analysis and recognition. Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/21/2015. | ||
650 | 0 | _aSpeech processing systems. | |
650 | 0 | _aDiscrete-time systems. | |
655 | 0 | _aElectronic books. | |
695 | _aAcoustics | ||
695 | _aAdditives | ||
695 | _aAnalytical models | ||
695 | _aArtificial neural networks | ||
695 | _aAuditory system | ||
695 | _aBand pass filters | ||
695 | _aBibliographies | ||
695 | _aBiological system modeling | ||
695 | _aBooks | ||
695 | _aCavity resonators | ||
695 | _aCepstrum | ||
695 | _aCities and towns | ||
695 | _aComputers | ||
695 | _aCorrelation | ||
695 | _aDigital signal processing | ||
695 | _aDiscrete time systems | ||
695 | _aDistortion measurement | ||
695 | _aDynamic programming | ||
695 | _aEncoding | ||
695 | _aFingers | ||
695 | _aFourier transforms | ||
695 | _aGrammar | ||
695 | _aHidden Markov models | ||
695 | _aHistory | ||
695 | _aHumans | ||
695 | _aIndexes | ||
695 | _aLaboratories | ||
695 | _aLarynx | ||
695 | _aMarkov processes | ||
695 | _aMaterials | ||
695 | _aMathematical model | ||
695 | _aMaximum likelihood detection | ||
695 | _aNerve fibers | ||
695 | _aNoise | ||
695 | _aNoise measurement | ||
695 | _aNonlinear filters | ||
695 | _aPragmatics | ||
695 | _aProduction | ||
695 | _aProduction systems | ||
695 | _aQuality assessment | ||
695 | _aRandom processes | ||
695 | _aSea measurements | ||
695 | _aSections | ||
695 | _aSignal analysis | ||
695 | _aSignal processing | ||
695 | _aSpeech | ||
695 | _aSpeech coding | ||
695 | _aSpeech enhancement | ||
695 | _aSpeech processing | ||
695 | _aSpeech recognition | ||
695 | _aStochastic processes | ||
695 | _aSystem identification | ||
695 | _aTime frequency analysis | ||
695 | _aVector quantization | ||
695 | _aVocabulary | ||
700 | 1 | _aProakis, John G. | |
700 | 1 | _aHansen, John H. L. | |
710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
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710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
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776 | 0 | 8 |
_iPrint version: _z9780780353862 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5266102 |
942 | _cEBK | ||
999 |
_c59521 _d59521 |