SPEECH ENHANCEMENT, MODELING AND RECOGNITION ALGORITHMS AND APPLICATIONS
SPEECH ENHANCEMENT, MODELING AND RECOGNITION ALGORITHMS AND APPLICATIONS
... mean RTF (Fsm∗ ) and the fluctuation from the mean RTF (Fsm∗ ) and let E FsTm∗ Fsm∗ = γI In this case a general 8 Speech Enhancement, Modeling and Recognition – Algorithms and Speech Applications ... Speech Enhancement, Modeling and Recognition – Algorithms and Speech Applications Processing two main components: The multi-channel front-end (speech enhancement) and the automatic speech recognizer ... voice recognition software or voice-to-text programs Speech processing includes speech recognition, speaker recognition, speech coding, voice analysis, speech synthesis and speech enhancement Speech...
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Multiscale modeling and applications in nanotribology
... applications regarding to nanotribology will be provided in detail 1.2 Review of Multiscale Modeling Approaches This section will review existing multiscale modeling techniques including Quasicontinuum method, ... Multiscale Modeling Using Pseudo Amorphous Cell A multiscale modeling approach for scaling up the modeling of amorphous materials is proposed In the multiscale model, the domain of interest is ... general multiscale modeling of various materials in the future Following the model development, in- depth multiscale simulations of indentation and sliding/friction may reveal some interesting tribological...
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Báo cáo hóa học: " Research Article A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition potx
... be compared to spectral subtraction Evaluation database As test material we took the resource management (RM) database (available from LDC [34]) These data are considered as clean data, to which ... singular value of Σ The enhanced signal s(k) is recovered by averaging along the antidiagonals of Hs Dologlou and Carayannis [17], and later on Hansen and Jensen [18] proved that this overall ... implementations of subspace speech enhancement are feasible on nowadays (high-end) hardware Another major difference between subspace- based speech enhancement and spectral subtraction is the explicit assumption...
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Báo cáo hóa học: " Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment" docx
... 5, 6, and 7, we demonstrate the efficiency of our model in the quality enhancement and error concealment methods of scalable video Section concludes this paper STOCHASTIC MODELING OF THE SPATIOTEMPORAL ... part of the log histogram From the same figure, note also the consistency of the model over the temporal scales This model amounts to cn,m = ln,m + α 1/2 zn,m /2 e (3) Stochastic Modeling of the Spatiotemporal ... streams and an error concealment method, both applied directly to the subbands of the spatiotemporal decomposition The paper is organized as follows In the next section, we present the stochastic...
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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 15 98290657 ebook Deng Deng DOI: 10 .2200/S00028ED1V01Y200605SAP002 A ... 1. 1 What Are Speech Dynamics? 1. 2 What Are Models of Speech Dynamics? 1. 3 Why Modeling Speech Dynamics? ... Acoustic Dynamics to Hidden Dynamics 31 3 .1 Background and Introduction 31 3.2 Statistical Models for Acoustic Speech Dynamics...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 2 pps
... MOBK 024 -FM P2: IML MOBK 024 -LiDeng.cls May 24 , 20 06 8:16 xii P1: IML/FFX P2: IML/FFX QC: IML/FFX MOBK 024 -01 MOBK 024 -LiDeng.cls T1: IML May 24 , 20 06 8:6 CHAPTER Introduction 1.1 WHAT ARE SPEECH DYNAMICS? ... coarticulation and phonetic reduction Applications to phonetic recognition are also presented and analyzed P1: IML/FFX MOBK 024 - 02 P2: IML MOBK 024 -LiDeng.cls May 30, 20 06 12: 56 CHAPTER A General Modeling and ... of dynamic speech modeling a much more comprehensive and rigorous treatment from both scientific and technological perspectives 1 .2 WHAT ARE MODELS OF SPEECH DYNAMICS? As discussed above, the speech...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 3 pot
... MOBK024-LiDeng.cls May 30 , 2006 12:56 A GENERAL MODELING AND COMPUTATIONAL FRAMEWORK S1 S2 S3 S4 t1 t2 t3 t4 tK z1 z2 z3 z4 zK o1 o2 o3 o4 oK y3 y4 25 yK y1 y2 SK h n1 N1 n2 N2 n3 n4 N3 N4 nK NK FIGURE ... May 30 , 2006 12:56 A GENERAL MODELING AND COMPUTATIONAL FRAMEWORK S1(1) S1( ) ( S21) ( S41) ( S3 ) ( S2 2) ( S4 2) ( S31) 23 ( ST1) ( ST2 ) ( S2 L ) ( S3 L ) t1 t2 t3 t4 tK z1 z2 z3 z4 ... model, as proposed in [33 ] and called the “target dynamic model, uses vocal tract constrictions (degrees and locations) instead of articulatory parameters as the target vector, and uses a geometrically...
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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 ... phonetics and speech science P1: IML/FFX MOBK0 24- 03 P2: IML MOBK0 24- LiDeng.cls 32 May 16, 2006 14: 4 DYNAMIC SPEECH MODELS The review of several different types of computational dynamic models for speech ... in speech, and makes the model parameterization more parsimonious than does the acoustic dynamic model where P1: IML/FFX MOBK0 24- 03 P2: IML MOBK0 24- LiDeng.cls 36 May 16, 2006 14: 4 DYNAMIC SPEECH...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 5 pdf
... 2006 15: 30 39 CHAPTER Models with Discrete-Valued Hidden Speech Dynamics In this chapter, we focus on a special type of hidden dynamic models where the hidden dynamics are recursively defined and ... MOBK024-LiDeng.cls 44 May 30, 2006 15: 30 DYNAMIC SPEECH MODELS The generalization of the standard forward–backward algorithm for HMM in any standard textbook on speech recognition is by including ... problem of speech recognition, and estimation of the hidden dynamic variables is the problem of tracking hidden dynamics For large vocabulary speech recognition, aggressive pruning and careful...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 6 pptx
... 30, 20 06 15:30 MODELS WITH DISCRETE-VALUED HIDDEN SPEECH DYNAMICS 51 where it , it−1 , and it−2 denote the discretization indices of the hidden dynamic variables at time frames t, t − 1, and t ... poles are used in the LPC model of speech [i.e., using P = in Eq (4. 46) ], since these lowest VTRs carry the P2: IML MOBK024-LiDeng.cls 56 May 30, 20 06 15:30 DYNAMIC SPEECH MODELS Cepstral value for ... 30, 20 06 15:30 MODELS WITH DISCRETE-VALUED HIDDEN SPEECH DYNAMICS 57 TABLE 4.1: Quantization Scheme for the VTR Variables, Including the Ranges of the Four VTR Frequencies and Bandwidths and the...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 7 pps
... 30, 2006 15:30 DYNAMIC SPEECH MODELS the huge space in the quantized hidden dynamic variables The sum with C terms as required in the various reestimation formulas and in the dynamic programming ... SCORE 1 .76 80 2.0813 2.0918 2.1209 2.1220 20 2.1222 P1: IML/FFX MOBK024-04 P2: IML MOBK024-LiDeng.cls May 30, 2006 15:30 MODELS WITH DISCRETE-VALUED HIDDEN SPEECH DYNAMICS 67 of the hidden dynamic ... speech model gives discretized first-order dynamics and the observation equation is a linear relationship between the discretized hidden dynamic variables and the acoustic observation variables Probabilistic...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 8 ppt
... CONTINUOUS-VALUED HIDDEN SPEECH TRAJECTORIES 73 value to these “coarticulation” vectors’ elements Both a k and vk are a function of the phones’ identities and temporal orders in the utterance, and are independent ... sounds /iy aa iy/ P1: IML/FFX MOBK024-05 P2: IML MOBK024-LiDeng.cls 78 April 26, 2006 14:3 DYNAMIC SPEECH MODELS (a) γ = [0 .85 ], D=100 2500 2000 /ε/ /iy/ /ε/ /iy/ /iy/ 1500 1000 500 (b) γ = [0.75] ... MODELS WITH CONTINUOUS-VALUED HIDDEN SPEECH TRAJECTORIES 79 (a) γ = [0 .85 ], D = 100 2500 2000 x 1500 1000 x 500 (b) γ = [0 .85 ] 2500 2000 x 1500 1000 x 500 (c) γ = [0 .85 ] 2500 2000 x 1500 1000 x 500...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 9 ppsx
... IML/FFX MOBK024-05 P2: IML MOBK024-LiDeng.cls 90 April 26, 2006 14:3 DYNAMIC SPEECH MODELS and grouping terms involving unknown μT (l, f ) on the left and the remaining terms on the right, we obtain ... recognition and machine learning approaches, the dynamic speech models, as they become better developed, will form a foundation for the next-generation speech technology serving the humankind and society ... aimed at evaluating the HTM and the parameter learning algorithms described in this chapter The standard TIMIT phone set with 48 labels is expanded to 58 (as described in [9] ) in training the HTM...
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Dynamic Speech ModelsTheory, Algorithms, and Applications phần 10 ppt
... [98] [99] [100 ] [101 ] [102 ] [103 ] [104 ] [105 ] [106 ] 101 observations with applications to speech recognition,” IEEE Trans Acoust., Speech, Signal Process., Vol 38, 1990, pp 220–225 L Deng and C Rathinavalu ... May 16, 2006 17:39 DYNAMIC SPEECH MODELS [46] J Frankel and S King “ASR—Articulatory speech recognition,” Proc Eurospeech, Vol 1, 2001, pp 599–602 [47] T Kaburagi and M Honda Dynamic articulatory ... ICSLP, Jeju Island, Korea, October 2004, pp 109 –111 [39] M Russell “Progress towards speech models that model speech, ” in Proc IEEE Workshop on Automatic Speech Recognition and Understanding, 1997,...
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