Speech recognition using neural networks - Chapter 5 doc
Speech recognition using neural networks - Chapter 5 doc
... no English. Janus performs speech trans- lation by integrating three modules — speech recognition, text translation, and speech gen- eration — into a single end-to-end system. Each of these modules ... The speech recognition module, for exam- ple, was originally implemented by our LPNN, described in Chapter 6 (Waibel et al 1991, Osterholtz et al 1992); but it was later replaced b...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 2 docx
... (200) M,A,R,K,E,T $ M, M A, A R, R K, K E, E T $ M A , M A R , A R K , R K E , K E T , E T $ MAR,KET MA,AR,KE,ET 1087,486, 250 2,986,3814,27 15 generalized triphone (4000) MARKET M 1 ,M 2 ,M 3 ; A 1 ,A 2 ,A 3 ; M = 3843,2 257 ,1 056 ; A = 1894,1247,3 852 ; senone (4000) 2. Review of Speech Recognition 22 2.3.3. ... /ts/ 2. Review of Speech Recognition 26 2.3.4. Limitations of HMM...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 1 pot
... volumes, and so on, x Speech Recognition using Neural Networks Joe Tebelskis May 19 95 CMU-CS-9 5- 1 42 School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 152 1 3-3 890 Submitted ... that neural networks can indeed form the basis for a general pur- pose speech recognition system, and that neural networks offer some clear advantages over co...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 3 potx
... ) 2 i ∑ =x j y i w ji i ∑ = y 1 y 2 y j x j w y y y 1 y 2 y 1 y 2 w 3 w 4 w 5 w 3 w 4 w 5 y 1 y 2 y 4 x 4 y 3 x 3 y 5 x 5 y k x k w 3 w 4 w 5 w k (a) (b) x j y i w ji –( ) 2 i ∑ =x j y i w ji i ∑ = x j y j x k y j w kj j ∑ = 3. Review of Neural Networks 46 By ... that the neural network may be simulated on a conventional computer, rather than imple- mented directly in hardware...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 4 pps
... by a simple HMM-based recog- nizer. Figure 4.3: Time Delay Neural Network. Integration Speech input Phoneme output B D G B D G 4.3. NN-HMM Hybrids 63 and neural networks; the speech frames then ... x( )⋅= 51 4. Related Research 4.1. Early Neural Network Approaches Because speech recognition is basically a pattern recognition problem, and because neural networks are good...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 6 pps
... HMMs using a single gaussian mixture, vs. LPNN. perplexity System 7 111 402 HMM-1 55 % HMM -5 96% 70% 58 % HMM-10 97% 75% 66% LVQ 98% 80% 74% LPNN 97% 60% 40% Table 6.4: Word accuracy of HMM-n with ... (99%) 2 49 /50 (98%) 20/20 (100%) 229/229 (100%) 3 50 /50 (100%) 20/20 (100%) 229/229 (100%) 924 1 106/118 (90%) 55 /60 (92%) 855 /900 ( 95% ) 2 116/118 (98%) 58 /60 (97%) 886/900 (98%)...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 7 pdf
... training of a speech recognizer?” 7 .5. Summary 143 7 .5. Summary In this chapter we have seen that good word recognition accuracy can be achieved using neural networks that have been trained as speech ... helpful. 0 10 20 30 40 50 60 70 80 word accuracy (%) 0 1 2 3 4 5 6 7 8 9 10 epochs PLP input normalization (May6) stdev 2 stdev 1.0 stdev .5 stdev . 25 stdev .1 25 No n...
Ngày tải lên: 13/08/2014, 02:21
Speech recognition using neural networks - Chapter 8 potx
... in Chapter 7 were developed on this database, and were never applied to the Conference Registration database. perplexity test on training set System 7 111 402(a) 402(b) 111 HMM-1 55 % HMM -5 96% ... 402(b) 111 HMM-1 55 % HMM -5 96% 71% 58 % 76% HMM-10 97% 75% 66% 82% LPNN 97% 60% 41% HCNN 75% LVQ 98% 84% 74% 61% 83% TDNN 98% 78% 72% 64% MS-TDNN 98% 82% 81% 70% 85% Table 8.1: Comparat...
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Speech recognition using neural networks - Chapter 9 pptx
... 1 1-1 5 temporal constraints 1 2-1 3, 16 dynamics 30, 78, 118 integration 38, 53 , 54 , 56 , 11 1-2 , 13 8-9 modeling 7, 1 2-1 3, 16, 5 6 -5 7, 151 , 154 structure 56 variability 1, 4, 5 6 -5 7 tensor products 57 testing ... 103, 11 9-1 20, 138 state of the art. See speech recognition static classification 51 , 52 , 5 5- 5 7 statistical models 4, 1 5- 2...
Ngày tải lên: 13/08/2014, 02:21
speech recognition using neural networks
... performance. We will see that neural networks help to avoid this problem. 1.2. Neural Networks Connectionism, or the study of artificial neural networks, was initially inspired by neuro- biology, but it ... advocates. Figure 2.1: Structure of a standard speech recognition system. Figure 2.2: Signal analysis converts raw speech to speech frames. raw speech signal analysis...
Ngày tải lên: 28/04/2014, 10:18