Presentation | 2005/7/16 Recognition of Non-Verbal Speech Using Imitated Word Model Shinya TAKAHASHI, Tsuyoshi MORIMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes imitated word models that represent non-verbal sounds, especially cough sounds here, as phoneme sequences. In conventional speech recognition systems, non-verbal sounds, so-called human noises, are processed as burden noises that cause mis-recognition. Non-verbal sounds are, however, important information to know user's physical and psychological condition. In particular, coughing is one of the most important barometers of daily health check, so we propose an approach to detect the cough sounds from user utterances using the imitated word models constructed by clustering of phoneme sequences obtained in phoneme recognition. The experimental results show that this approach can improve the correct rates and the accuracies for words and coughs compared with the approach using HMM constructed from cough waveforms. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | non-verbal sound / onomatopoeia / cough recognition / imitated word model |
Paper # | NLC2005-21 |
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Committee | NLC |
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Conference Date | 2005/7/16(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) | Recognition of Non-Verbal Speech Using Imitated Word Model |
Sub Title (in English) | |
Keyword(1) | non-verbal sound |
Keyword(2) | onomatopoeia |
Keyword(3) | cough recognition |
Keyword(4) | imitated word model |
1st Author's Name | Shinya TAKAHASHI |
1st Author's Affiliation | Dept. of EECS, Fukuoka University() |
2nd Author's Name | Tsuyoshi MORIMOTO |
2nd Author's Affiliation | Dept. of EECS, Fukuoka University |
Date | 2005/7/16 |
Paper # | NLC2005-21 |
Volume (vol) | vol.105 |
Number (no) | 204 |
Page | pp.pp.- |
#Pages | 5 |
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