Dynamic Speech ModelsTheory, Algorithms, and Applications phần 1 pot
... of the publisher. Dynamic Speech Models, Theory, Algorithms, and Applications Li Deng www.morganclaypool.com 15 98290649 paper Deng 15 98290657 ebook Deng DOI: 10 .2200/S00028ED1V01Y200605SAP002 A ... MOBK024-LiDeng.cls May 24, 2006 8 :16 Dynamic Speech Models Theory, Algorithms, and Applications Li Deng Microsoft Research Redmond, Washington, USA SYNTHESIS LECTURES ON...
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... 2006 12 :56 A GENERAL MODELING AND COMPUTATIONAL FRAMEWORK 19 )1( 1 S )1( 2 S )1( 3 S )1( 4 S )1( T S )2( 1 S )2( 2 S )2( 3 S )2( 4 S )2( T S )( 1 L S )( 2 L S )( 3 L S )( 4 L S )(L T S 1 t 2 t 3 t K t 4 t FIGURE2.3: ... MOBK024-LiDeng.cls May 30, 2006 12 :56 A GENERAL MODELING AND COMPUTATIONAL FRAMEWORK 15 )1( 1 S )1( 2 S )1( 3 S )1( 4 S )1( T S...
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... IML/FFX P2: IML/FFX QC: IML/FFX T1: IML MOBK024- 01 MOBK024-LiDeng.cls May 24, 2006 8:6 1 CHAPTER 1 Introduction 1. 1 WHAT ARE SPEECH DYNAMICS? In a broad sense, speech dynamics are time-varying or ... subject of dynamic speech modeling a much more comprehensive and rigorous treatment from both scientific and technological perspectives. 1. 2 WHAT ARE MODELS OF SPEECH DYNAM...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 4 doc
... [24,42,48,49, 84,85 ,10 7 11 2]); • model with abstract dynamics (e.g., [42,44 ,10 7 ,11 3]). The VTR dynamics are a special type of task dynamics, with the acoustic goal or “task” of speech production ... hidden dynamic models can be broadly classified into • articulatory dynamic model (e.g., [46,54,58,59,78,79 ,10 3 ,10 4]); • task -dynamic model (e.g., [10 5 ,10 6]); • vocal tract re...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 5 pdf
... i t |o N 1 ) = s t +1 i t +1 p(s t , i t , s t +1 , i t +1 |o N 1 ) = s t +1 i t +1 p(s t , i t , s t +1 , i t +1 |o N 1 )p(s t +1 , i t +1 |o N 1 ) = s t +1 i t +1 p(s t , i t , s t +1 , i t +1 |o t 1 )γ ... i N 1 |o N 1 ) log p(s N 1 , i N 1 , o N 1 ) (4.9) = s N 1 i N 1 p(s N 1 , i N 1 |o N 1 ) log p(o N 1 |s N 1 , i N 1 ) ...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 6 pptx
... = S s t =1 C i t =1 α(s t , i t )p(s t +1 , i t +1 |s t , i t , i t 1 )p(o t +1 |s t +1 , i t +1 ), (4.50) where p(o t +1 |s t +1 = s, i t +1 = i) = N(o t +1 ; F(x t +1 [i]) +h s , D s ), and p(s t +1 = s, i t +1 = i ... i) ≡ p(o N t +1 |s t = s, i t = i)is β(s t , i t ) = S s t +1 =1 C i t +1 =1 β(s t +1 , i t +1 )p(s t +1 , i t +1 |s t , i t , i t 1 )p(o...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 7 pps
... extracts, reorganizes, and expands the materials published in [10 9 ,11 5 ,11 6, 12 4], fitting these materials into the general theme of dynamic speech modeling in this book. 5 .1 OVERVIEW OF THE HIDDEN ... SCORE 0 1. 7680 1 2.0 813 2 2.0 918 3 2 .12 09 5 2 .12 20 20 2 .12 22 P1: IML/FFX P2: IML MOBK024-05 MOBK024-LiDeng.cls April 26, 2006 14 :3 MODELS WITH CONTINUOUS-VALUED HID...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 8 ppt
... Figs. 5 .10 –5 .12 , respectively, for P1: IML/FFX P2: IML MOBK024-05 MOBK024-LiDeng.cls April 26, 2006 14 :3 80 DYNAMIC SPEECH MODELS 2 3 4 5 6 7 8 9 10 200 400 600 800 10 00 12 00 14 00 16 00 18 00 2000 /ε/ Speaking ... variations. P1: IML/FFX P2: IML MOBK024-05 MOBK024-LiDeng.cls April 26, 2006 14 :3 MODELS WITH CONTINUOUS-VALUED HIDDEN SPEECH TRAJECTORIES 81 40 50 60 70 80...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 9 ppsx
... System 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 ... 10 0 15 0 200 250 300 350 0 50 10 0 15 0 200 250 300 350 1 0 1 −0.5 0 0.5 −2 1 0 1 2 Frame (10 ms) C1 C2 C3 FIGURE 5 .10 : Linear cepstra with order one...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 10 ppt
... IEEE. P1: IML/FFX P2: IML MOBK024-BIB MOBK024-LiDeng.cls May 16 , 2006 17 :39 10 0 DYNAMIC SPEECH MODELS [77] S.Maeda. “Onarticulatoryandacousticvariabilities,” J.Phonetics,Vol. 19 ,19 91, pp.3 21 3 31. [78] ... 19 93, pp. 10 1 11 9. [93] P. Kenny, M. Lennig, and P. Mermelstein. “A linear predictive HMM for vector-valued P1: IML/FFX P2: IML MOBK024-BIB MOBK024-LiDeng.cls May 16...
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