Dynamic Speech ModelsTheory, Algorithms, and Applications phần 4 doc

... (e.g., [ 24, 42 ,48 ,49 , 84, 85,107–112]); • model with abstract dynamics (e.g., [42 ,44 ,107,113]). The VTR dynamics are a special type of task dynamics, with the acoustic goal or “task” of speech production ... in speech, and makes the model parameterization more parsimonious than does the acoustic dynamic model where P1: IML/FFX P2: IML MOBK0 24- 03 MOBK0 24- LiDeng.cls May 16, 200...

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... IML MOBK0 24- FM MOBK0 24- LiDeng.cls May 24, 2006 8:16 Dynamic Speech Models Theory, Algorithms, and Applications i P1: IML/FFX P2: IML MOBK0 24- FM MOBK0 24- LiDeng.cls May 24, 2006 8:16 iv ABSTRACT Speech dynamics ... IML MOBK0 24- FM MOBK0 24- LiDeng.cls May 24, 2006 8:16 Dynamic Speech Models Theory, Algorithms, and Applications Li Deng Microsoft Research Redmond, W...

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... been proposing and pursuing research that extensively explores the dynamic properties of speech in various forms and at various levels of the human speech communication chain (e.g., [ 24, 32– 34, 42 49 ]). ... modeling pseudo-articulatory dynamics or abstract hidden dynamics for the purpose of speech recognition can be found in [42 , 44 46 , 58, 59]. In these studies, the dynami...

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... phonology, target process, and articulatory dynamics P1: IML/FFX P2: IML MOBK0 24- 02 MOBK0 24- LiDeng.cls May 30, 2006 12:56 20 DYNAMIC SPEECH MODELS 2.3.3 Articulatory Dynamic Model Due to the difficulty ... IML MOBK0 24- 02 MOBK0 24- LiDeng.cls May 30, 2006 12:56 A GENERAL MODELING AND COMPUTATIONAL FRAMEWORK 25 1 S 2 S 3 S 4 S K S 1 t 2 t 3 t K t 4 t 1 z 2 z 3 z K z 4 z 1...

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... auxiliary function Q = Q o + Q x as in Eqs. (4. 9), (4. 10) and (4. 11). P1: IML/FFX P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 40 DYNAMIC SPEECH MODELS where observation noise v k ∼ ... P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 44 DYNAMIC SPEECH MODELS The generalization of the standard forward–backward algorithm for HMM in any standard text...

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... the LPC model of speech [i.e., using P = 4 in Eq. (4. 46)], since these lowest VTRs carry the P1: IML/FFX P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 52 DYNAMIC SPEECH MODELS We desire ... B s ) ×N(o t ; F(x[i t ]) + h s , D s ), (4. 40) P1: IML/FFX P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 MODELS WITH DISCRETE-VALUED HIDDEN SPEECH DYNAMICS 57 T...

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... P1: IML/FFX P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 64 DYNAMIC SPEECH MODELS superimposed on the spectrogram of a telephone speech utterance (excised fromthe Switchboard database) ... Fig. 4. 7. FIGURE 4. 5: VTR tracking with one iteration of residual training P1: IML/FFX P2: IML MOBK0 24- 04 MOBK0 24- LiDeng.cls May 30, 2006 15:30 MODELS WITH DISCRETE-VALUED...

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... respectively, for P1: IML/FFX P2: IML MOBK0 24- 05 MOBK0 24- LiDeng.cls April 26, 2006 14: 3 80 DYNAMIC SPEECH MODELS 2 3 4 5 6 7 8 9 10 200 40 0 600 800 1000 1200 140 0 1600 1800 2000 /ε/ Speaking rate (inverse ... sounds /iy aa iy/. P1: IML/FFX P2: IML MOBK0 24- 05 MOBK0 24- LiDeng.cls April 26, 2006 14: 3 74 DYNAMIC SPEECH MODELS function of F[z(k)] in Eq. (5. 14) by using th...

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... and Three Versions of the HTM System ACC % CORR % SUB % DEL % INS % HMM 71 .43 73. 64 17. 14 9.22 2.21 HTM-1 74. 31 77.76 16.23 6.01 3 .45 HTM-2 74. 59 77.73 15.61 6.65 3. 14 HTM-3 75.07 78.28 15. 94 ... matrix F  [z]. P1: IML/FFX P2: IML MOBK0 24- 05 MOBK0 24- LiDeng.cls April 26, 2006 14: 3 90 DYNAMIC SPEECH MODELS and grouping terms involving unknown μ T (l, f ) on the left...

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... IML MOBK0 24- BIB MOBK0 24- LiDeng.cls May 16, 2006 17:39 98 DYNAMIC SPEECH MODELS [46 ] J. Frankel and S. King. “ASR—Articulatory speech recognition,”Proc.Eurospeech, Vol. 1, 2001, pp 599–602. [47 ] T. ... trajectories using task dynamics and a genetic algorithm: Preliminary model tests,” Speech Commun., Vol. 14, 19 94, pp. 19 48 . [106] R. McGowan and A. Faber. Speech produ...

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