Title:
Spedaker_Adapting_in_Speech_recognizing
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Description: Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down.
To Search:
- [BNPBN] - Speaker Verification Toolbox
- [experiment1] - Experimental test procedures for pattern
File list (Check if you may need any files):
说话人自适应训练方法在连续语音识别中的应用.pdf
