LEADER 05277nam 2200637Ia 450 001 9910830012803321 005 20221223184006.0 010 $a1-282-25394-8 010 $a9786613814593 010 $a0-470-61118-9 010 $a0-470-39381-5 035 $a(CKB)2550000000005897 035 $a(EBL)477686 035 $a(OCoLC)609853573 035 $a(SSID)ssj0000354396 035 $a(PQKBManifestationID)11298720 035 $a(PQKBTitleCode)TC0000354396 035 $a(PQKBWorkID)10302587 035 $a(PQKB)10208931 035 $a(MiAaPQ)EBC477686 035 $a(EXLCZ)992550000000005897 100 $a20080819d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSpoken language processing$b[electronic resource] /$fedited by Joseph Mariani 210 $aLondon $cISTE ;$aHoboken, NJ $cJohn Wiley and Sons$d2009 215 $a1 online resource (505 p.) 225 1 $aISTE ;$vv.34 300 $aDescription based upon print version of record. 311 $a1-84821-031-0 320 $aIncludes bibliographical references and index. 327 $aSpoken Language Processing; Table of Contents; Preface; Chapter 1. Speech Analysis; 1.1. Introduction; 1.1.1. Source-filter model; 1.1.2. Speech sounds; 1.1.3. Sources; 1.1.4. Vocal tract; 1.1.5. Lip-radiation; 1.2. Linear prediction; 1.2.1. Source-filter model and linear prediction; 1.2.2. Autocorrelation method: algorithm; 1.2.3. Lattice filter; 1.2.4. Models of the excitation; 1.3. Short-term Fourier transform; 1.3.1. Spectrogram; 1.3.2. Interpretation in terms of filter bank; 1.3.3. Block-wise interpretation; 1.3.4. Modification and reconstruction; 1.4. A few other representations 327 $a1.4.1. Bilinear time-frequency representations1.4.2. Wavelets; 1.4.3. Cepstrum; 1.4.4. Sinusoidal and harmonic representations; 1.5. Conclusion; 1.6. References; Chapter 2. Principles of Speech Coding; 2.1. Introduction; 2.1.1. Main characteristics of a speech coder; 2.1.2. Key components of a speech coder; 2.2. Telephone-bandwidth speech coders; 2.2.1. From predictive coding to CELP; 2.2.2. Improved CELP coders; 2.2.3. Other coders for telephone speech; 2.3. Wideband speech coding; 2.3.1. Transform coding; 2.3.2. Predictive transform coding; 2.4. Audiovisual speech coding 327 $a2.4.1. A transmission channel for audiovisual speech2.4.2. Joint coding of audio and video parameters; 2.4.3. Prospects; 2.5. References; Chapter 3. Speech Synthesis; 3.1. Introduction; 3.2. Key goal: speaking for communicating; 3.2.1. What acoustic content?; 3.2.2. What melody?; 3.2.3. Beyond the strict minimum; 3.3 Synoptic presentation of the elementary modules in speech synthesis systems; 3.3.1. Linguistic processing; 3.3.2. Acoustic processing; 3.3.3. Training models automatically; 3.3.4. Operational constraints; 3.4. Description of linguistic processing; 3.4.1. Text pre-processing 327 $a3.4.2. Grapheme-to-phoneme conversion3.4.3. Syntactic-prosodic analysis; 3.4.4. Prosodic analysis; 3.5. Acoustic processing methodology; 3.5.1. Rule-based synthesis; 3.5.2. Unit-based concatenative synthesis; 3.6. Speech signal modeling; 3.6.1. The source-filter assumption; 3.6.2. Articulatory model; 3.6.3. Formant-based modeling; 3.6.4. Auto-regressive modeling; 3.6.5. Harmonic plus noise model; 3.7. Control of prosodic parameters: the PSOLA technique; 3.7.1. Methodology background; 3.7.2. The ancestors of the method; 3.7.3. Descendants of the method; 3.7.4. Evaluation 327 $a3.8. Towards variable-size acoustic units3.8.1. Constitution of the acoustic database; 3.8.2. Selection of sequences of units; 3.9. Applications and standardization; 3.10. Evaluation of speech synthesis; 3.10.1. Introduction; 3.10.2. Global evaluation; 3.10.3. Analytical evaluation; 3.10.4. Summary for speech synthesis evaluation; 3.11. Conclusions; 3.12. References; Chapter 4. Facial Animation for Visual Speech; 4.1. Introduction; 4.2. Applications of facial animation for visual speech; 4.2.1. Animation movies; 4.2.2. Telecommunications; 4.2.3. Human-machine interfaces 327 $a4.2.4. A tool for speech research 330 $aSpeech processing addresses various scientific and technological areas. It includes speech analysis and variable rate coding, in order to store or transmit speech. It also covers speech synthesis, especially from text, speech recognition, including speaker and language identification, and spoken language understanding.This book covers the following topics: how to realize speech production and perception systems, how to synthesize and understand speech using state-of-the-art methods in signal processing, pattern recognition, stochastic modelling computational linguistics and human factor st 410 0$aISTE 606 $aAutomatic speech recognition 606 $aSpeech processing systems 615 0$aAutomatic speech recognition. 615 0$aSpeech processing systems. 676 $a006.4/54 676 $a006.454 701 $aMariani$b Joseph$01675036 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830012803321 996 $aSpoken language processing$94040240 997 $aUNINA