A Method on the Learning Speed Improvement of the Online Error Backpropagation Algorithm in Speech Processing
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이태승
(한국항공대학교 항공전자공학과)
이백영 (한국항공대학교 항공전자공학과) 황병원 (한국항공대학교 항공전자공학과) |
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Dynamic programming algorithm optimization for spoken word recognition
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DOI |
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Integrating time alignment and connectionist networks for high performance continuous speech recognition
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3 |
A high performance text independent speaker recognition system based on vowel spotting and neural nets
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DOI |
4 |
A direct adaptive method for faster backpropagation learning: the rprop algorithm
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5 |
Links between hidden markov models and multilayer perceptrons
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DOI ScienceOn |
6 |
Supervised learning on large redundant training sets
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7 |
Phoneme recognition using time-delay neural networks
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DOI ScienceOn |
8 |
Learning Internal representations by error propagation
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10 |
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11 |
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12 |
A modular connectionist architecture for text-independent talker identification
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13 |
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14 |
A segment-based speaker adaptation neural network applied to continuous speech recognition
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15 |
Speaker verification: a tutorial
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16 |
Improving the convergence of back-propagation learning with second-order methods
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17 |
The need for small learning rates on large problems
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19 |
Speaker-Independent word recognition using dynamic programming neural networks
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20 |
A tutorial on hidden markov models and selected applications in speech recognition
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DOI ScienceOn |
21 |
Hybrid connectionist models for continuous speech recognition
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