Presentation | 2005/2/25 A Neural Network Model of Speech Recognition Based on The Gestalt Principle Hironobu OASHI, Akinao YOSHIDA, Yoko YAMAGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The gestalt principle has been known to be applicable to auditory recognitions. We hypothesize that phonological perception in speech recognition is a process to organize a good form of segments (morae in Japanese) following to the gestalt principle. Feedforward and backward interactions between a noise and a formant might complete clear and collective formant transitions in morae. By using simulation of a neural network model with noise and formant dependent interactions, we found that a mora with a clear formant transitions can be generated by self-organization of neural activities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gestalt / Speech recognition / Segmentalization / Interaction between the features / Backward interaction |
Paper # | SP2004-165 |
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Committee | SP |
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Conference Date | 2005/2/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Neural Network Model of Speech Recognition Based on The Gestalt Principle |
Sub Title (in English) | |
Keyword(1) | Gestalt |
Keyword(2) | Speech recognition |
Keyword(3) | Segmentalization |
Keyword(4) | Interaction between the features |
Keyword(5) | Backward interaction |
1st Author's Name | Hironobu OASHI |
1st Author's Affiliation | Graduate School of Science and Engineering, Tokyo Denki University() |
2nd Author's Name | Akinao YOSHIDA |
2nd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Denki University |
3rd Author's Name | Yoko YAMAGUCHI |
3rd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Denki University:RIKEN Brain Science Institute:CREST JST |
Date | 2005/2/25 |
Paper # | SP2004-165 |
Volume (vol) | vol.104 |
Number (no) | 696 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |