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A Study on the Speech Recognition using Pitch Synchronous LPC Cepstrum-VQ and HMM
이광형,고남곤,Lee, Jin Yi,Kim, Hyung Seuk 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
In this paper we propose a phoneme recognition model of the Korean speech by using the pitch synchronous LPC cepstrum-VQ and FIMM. The LPC cepstrum coefficient have been obtained by synchronizing the analysis frame per a pitch. The pitch synchronization method reduces the analysis trine and the effect of the pitch pulses. The LPC cepstrum of the Input speedy signal is vector quantized by using the reference codebook of the LPC cepstrum coefficient. This codebook has already been designed with the FCM clustering algorithm. The LPC cepstrum codevector's address in codbook is applied to the f IMM algorithm, and then recognized phoneme by phoneme. As the speech signal vary slowly with tune, the HMM technique is, in general, effective in it modeling in time. The performance evaluation of, the proposed method has been done for both inside training data and outside training data. As the simulation results, it can be shown that the proposed recognition method has improved about 3(%) in recognition ratio than the pitch asynchronous method.