Title:
Research_0n_Speech_Cepstral_Features
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Description: In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter extraction algorithm for principle and extraction algorithm is proposed a secondary characteristic parameters of differential cepstrum extraction algorithm. Recognition experiment results verify the robustness of MFCC parameters is superior to LPCC parameters.
- [mfcc] - used language voice characteristic param
- [speech_analysis] - Then a voice feature extraction procedur
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