Michal Borsky

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This paper describes the analysis of the performance of MLLR-based speaker adaptation in a large vocabulary continuous speech recognition system. Two different approaches of clustering in MLLR-adaptation with more regression classes, knowledge-based clustering and automatic clustering were analysed. The contribution of mentioned acoustic model adaptation(More)
This paper deals with an optimization of state-tying for triphone-based HMM in the case of training data deficiency. The main goal is to analyse the importance of stopping threshold for criterial function in tree-based clustering. The log-likelihood measure was used as the criterial function, when a varying threshold with different sizes of training set was(More)
This paper analyses the contribution of optimized PLP feature extraction setup and application of feature normalization to improve the performance of automatic speech recognition system for data compressed by MP3 algorithm. The experimental study performed on loop-digit recognition and large vocabulary continues speech recognition task showed that proper(More)
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