Examining the Influence of Speech Frame Size and Number of Cepstral Coefficients on the Speech Recognition Performance
نویسندگان
چکیده
In the present work we explore the influence of front-end setup on the speech recognition performance. Specifically, we study the dependence between specific parameters of the speech parameterization stage, such as speech frame size and number of Mel-frequency cepstral coefficients (MFCC), and the word error rate (WER). Our comparative evaluation is performed by employing the Sphinx-IV speech recognition engine and the TIMIT speech corpus. The experimental results demonstrated that a subset composed of the first 9 cepstral coefficients demonstrate lower WER than the commonly used 13 MFCC. On the other hand, the frame size turned out not to be a crucial parameter.
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