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In conventional speaker recognition methods based on MFCC, the phase information has been ignored. Recently, we proposed a method that integrated MFCC with the phase information on a speaker recognition method. Using the phase information, the speaker identification error rate was reduced by 78% for clean speech. In this paper, we describe the effectiveness(More)
SUMMARY In this paper, we investigate the effectiveness of phase for speaker recognition in noisy conditions and combine the phase information with mel-frequency cepstral coefficients (MFCCs). To date, almost speaker recognition methods are based on MFCCs even in noisy conditions. For MFCCs which dominantly capture vocal tract information, only the(More)
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