Presentation | 1999/12/20 Environmental Sound Discrimination Based on Hidden Markov Model Kazuhiro MIKI, Takanobu NISHIURA, Satoshi NAKAMURA, Kiyohiro SHIKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In real acoustic environments, human communicates each other through speech by focusing on the target speech sound among environmental sounds. We can easily discriminate the target sound from other environmental sounds. For hands-free speech recognition, the discrimination of the target speech from environmental sounds is inevitable. This mechanism might also be important even for the self moving robot to sense acoustic environments and communicate with human. This paper proposes HMM-based environmental sound recognition. Environmental sounds are modeled by three state HMMs and evaluated using 90 kinds of environmental sounds. The recognition accuracy was 95.4%. Thi spaper also proposes recognition of the environment sound-added is olatedwords by HMM composition. The experiments show the HMM composition of speech HMMs and a HMM of classe environmental sounds outperforms the conventional HMM composition of speech HMMs and a noise HMMt trained using noise periods prior to the target speech in the environments. |
Keyword(in Japanese) | (See Japanese page) |
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Paper # | NLC99-106 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1999/12/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Environmental Sound Discrimination Based on Hidden Markov Model |
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1st Author's Name | Kazuhiro MIKI |
1st Author's Affiliation | () |
2nd Author's Name | Takanobu NISHIURA |
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3rd Author's Name | Satoshi NAKAMURA |
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4th Author's Name | Kiyohiro SHIKANO |
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Date | 1999/12/20 |
Paper # | NLC99-106 |
Volume (vol) | vol.99 |
Number (no) | 523 |
Page | pp.pp.- |
#Pages | 6 |
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