MAP-based Audio Coding Compensation for Speaker Recognition
نویسندگان
چکیده
منابع مشابه
MAP-based Audio Coding Compensation for Speaker Recognition
The performance of the speaker recognition system declines when training and testing audio codecs are mismatched. In this paper, based on analyzing the effect of mismatched audio codecs in the linear prediction cepstrum coefficients, a method of MAP-based audio coding compensation for speaker recognition is proposed. The proposed method firstly sets a standard codec as a reference and trains th...
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A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
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A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
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ژورنال
عنوان ژورنال: Journal of Signal and Information Processing
سال: 2011
ISSN: 2159-4465,2159-4481
DOI: 10.4236/jsip.2011.23021