关键词: MFCC参数, 频谱重建, 说话人识别

Abstract: In the speaker recognition, Mel Frequency Cepstrum Coefficient（MFCC） is the most commonly used speech features. This paper presents an improved method of extraction to take the MFCC parameters, in the FFT of this step in the traditional process of extraction of MFCC spectrum reconstruction, noise compensation for reconstruction of the spectrum, with good noise immunity, approaching pure voice spectrum. The experiments show that the improvements based on this extracted MFCC, can significantly improve the recognition rate for speaker recognition system, especially in low SNR environment, the effect is obvious.

Key words: MFCC parameters, spectrum reconstruction, speaker recognition