Presentation | 1999/12/20 An Improvement to 3-D N-best Search Using Path-Distance Based Clustering for Recognizing Multiple Sound Sources HERACLEOUS Panikos, Satoshi NAKAMURA, Kiyohiro SHIKANO, |
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Abstract(in English) | A problem which requires solution in the recognition of distant talking speech is the talker localization. In some approaches the talker is localized by using short- and long-termpower. However, in the case of low SNR the talker localization appears to be difficult. The 3-D Viterbi search based method, proposed by YamadaT. et. al, integrate stalker localization and speech recognition. Although, the method provides high recognition rates its applications are restricted only to the presence of one talker. In previous work we introduced a method able for simultaneous recognition of multiple sound sources. The method is an extension of the 3-D Viterbi search and performs N-best search in a 3-D trellis space composed of input frames, HMM states and direction. This paper describes the improvement of the method by using path-distance based clustering of the hypotheses. |
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Paper # | NLC99-107 |
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Committee | NLC |
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Conference Date | 1999/12/20(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Improvement to 3-D N-best Search Using Path-Distance Based Clustering for Recognizing Multiple Sound Sources |
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1st Author's Name | HERACLEOUS Panikos |
1st Author's Affiliation | () |
2nd Author's Name | Satoshi NAKAMURA |
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3rd Author's Name | Kiyohiro SHIKANO |
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Date | 1999/12/20 |
Paper # | NLC99-107 |
Volume (vol) | vol.99 |
Number (no) | 523 |
Page | pp.pp.- |
#Pages | 5 |
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