M EL - LP BASED G ENERALIZED C EPSTRAL A NALYSIS FOR N OISY S PEECH R ECOGNITION USING HMM
Journal Title: International Journal of Scientific Research and Management - Year 2013, Vol 1, Issue 9
Abstract
This paper deals with LP based Mel - Generalized cepstrum which has been used as front - end for Hidden Markov Model (HMM) based speech recognition and it incorporates equal - loudness power law as well as auditory - like frequency resolution. To utilize the generalized cepstral representation, the model spectrum can be varied continuously from the all - pole spectrum to that represented by the cepstrum according to the value of γ. The performance of Mel - LP based generalized cepstral analysis has been evalua ted on Aurora - 2 database for HMM based speech recognition. The word accuracy for Mel - Generalized cepstral analysis is found to be 63.63% for test set A. On the contrary, the conventional Mel - LPC gives 59.05% word accuracy.
Authors and Affiliations
Md. Rashedul Islam
Keywords
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