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A Study on Speaker Adaptation of Large Continuous Spoken Language Using back-off bigram  

최학윤 (김포대학 전자정보계열)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.9C, 2003 , pp. 884-890 More about this Journal
Abstract
In this paper, we studied the speaker adaptation methods that improve the speaker independent recognition system. For the independent speakers, we compared the results between bigram and back-off bigram, MAP and MLLR. Cause back-off bigram applys unigram and back-off weighted value as bigram probability value, it has the effect adding little weighted value to bigram probability value. We did an experiment using total 39-feature vectors as featuring voice parameter with 12-MFCC, log energy and their delta and delta-delta parameter. For this recognition experiment, We constructed a system made by CHMM and tri-phones recognition unit and bigram and back-off bigrams language model.
Keywords
bigram; back-off bigram; MAP; MLLR;
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