An efficient mel-LPC analysis method for speech recognition

This paper proposes a simple and e(cid:14)cient time domain technique to estimate an all-poll model on a mel-frequency axis (Mel-LPC). This method requires only two-fold computational cost as compared to conventional linear prediction analysis. The recognition performance of mel-cepstral parameters obtained by the Mel LPC analysis is compared with those of conventional LP mel-cepstra and the mel-frequency cepstrum coe(cid:14)cients (MFCC) through gender-dependent phoneme and word recognition tests. The results show that the Mel-LPC cepstrum attains a signi(cid:12)cant improvement in recognition accuracy over conventional LP mel-cepstrum, and gives slightly higher accuracy for male speakersand slightlylower accuracy for female speakersthan MFCC.