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ON THE IMPORTANT MODULATION-FREQUENCY BANDS OF SPEECH FOR HUMAN SPEAKER RECOGNITION

ON THE IMPORTANT MODULATION-FREQUENCY BANDS OF SPEECH FOR HU...

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6～(th) International Conference on Spoken Language Processing

作者： Takayuki Arai Mahoro Takahashi Noboru Kanedera Yukiko Takano yuji murahara Dept. of Electrical and Electronics Eng. Sophia University Tokyo JAPAN Dept. of Electrical and Electronics Eng. Sophia University Tokyo JAPAN Ishikawa National College of Technology Ishikawa JAPAN Ishikawa National College of Technology Ishikawa JAPAN Dept. of Electrical and Electronics Eng. Sophia University Tokyo JAPAN

＜正＞ By means of perceptual experiments, we investigated what range of modulation frequency components of the melfrequency cepstral coefficients （MFCC） contains the most important information for speaker identification. In our study, wc conducted two perceptual experiments using an MFCC-based re-synthesis scheme with two types of excitation. In Experiment Ⅰ, speech sounds were resynthesized from the extracted pitch and while noise. In Experiment Ⅱ, speech sounds were re-synthesized only from white noise to avoid including pitch information. For each experiment the original speech sounds were uttered by two sets of five professors. A total of 44 students （16 for Exp. Ⅰ and 28 for Exp. Ⅱ） who attend the professors’ classes participated in the experiments. We analyzed the experimental results in order to estimate the relative importance of different modulation frequencies in speaker recognition. The results show that the most important speaker information was in modulation frequency components from 2 to 8 Hz for both Exp. Ⅰ（pitch-excited） and Exp. Ⅱ（noise-excited）. These results also show that some contribution was derived from including modulation frequency components around 0 Hz. Hence, we concluded that dynamic features are important for human speaker identification as well us static features.

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