Presentation 2000/6/15
SP2000-10 Speaker Clustering using Telephone Speech Database of a Large Number of Speakers
Tsuneo Kato, Shingo Kuroiwa, Tohru Shimizu, Norio Higuchi,
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Abstract(in English) Speaker clustering is a method that creates groups of speakers with similar acoustic characteristics, and acoustic models tuned to specific groups of speakers are available. Previous researches made on small numbers of training speakers have shown that the recognition accuracy of the speaker-cluster models is not enough. In this paper, a telephone speech database of over a thousand speakers is used for speaker clustering. As a larger number of speakers'data are available, the sparse data problems of both the speakers and the amount of data for each speaker-cluster model are expected to diminish. Experimental results showed the increase of training speakers is very effective for improving phoneme accuracy. Furthermore we estimated the maximal phoneme accuracy possibly obtained with given data. Results showed sixty percent of the difference between phoneme accuracy of speaker-independent and speaker-dependent models may by improved.
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Keyword(in English) speech recognition / telephone speech / acoustic modeling / speaker adaptation / clustering
Paper # SP2000-10
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Committee SP
Conference Date 2000/6/15(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) SP2000-10 Speaker Clustering using Telephone Speech Database of a Large Number of Speakers
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) telephone speech
Keyword(3) acoustic modeling
Keyword(4) speaker adaptation
Keyword(5) clustering
1st Author's Name Tsuneo Kato
1st Author's Affiliation KDD R&D Laboratories Inc.()
2nd Author's Name Shingo Kuroiwa
2nd Author's Affiliation KDD R&D Laboratories Inc.
3rd Author's Name Tohru Shimizu
3rd Author's Affiliation KDD R&D Laboratories Inc.
4th Author's Name Norio Higuchi
4th Author's Affiliation KDD R&D Laboratories Inc.
Date 2000/6/15
Paper # SP2000-10
Volume (vol) vol.100
Number (no) 136
Page pp.pp.-
#Pages 8
Date of Issue