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The paper compares the accuracy of HMM-based automatic phonetic segmentation using various signal representation same as acoustic models of various complexity, i.e. acoustic models of monophones or word-internal triphones with various number of mixtures. The precision of automatic phonetic segmentation was measured on the basis of comparison with manually segmented speech data. The analysis showed...
This paper presents the study of speech recognition accuracy with respect to different levels of MP3 compression. Special attention is focused on the processing of speech signals with different quality, i.e. with different level of background noise and channel distortion. The work was motivated by possible usage of ASR for offline automatic transcription of audio recordings collected by standard wide-spread...
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