Exploration of phase and vocal excitation modulation features for speaker recognition
Refereed conference paper presented and published in conference proceedings

替代計量分析
.

其它資訊
摘要Mel-frequency cepstral coefficients (MFCCs) are found closely related to the linguistic content of speech. Besides cepstral features, there are resources in speech, e.g, the phase and excitation source, are believed to contain useful properties for speaker discrimination. Moreover, the magnitude-based features are insufficient to provide satisfactory and robust speaker recognition accuracy in real-world applications when large variations exist between the development and application scenarios. AM-FM signal modeling technique offers an effective approach to characterize and analyze speech properties. This work is therefore motivated to capture the relevant phase and vocal excitation related modulation features in complementing with MFCCs. In the context of multi-band demodulation analysis, we present a novel parameterization of speech and vocal excitation signal. A pertinent representation for most dominant primary frequencies present in the speech signal is first built. It is then applied to frames of the speech signal to derive effective speaker-discriminative features. The source-related amplitude and phase quantities are also parameterized into feature vectors. The application of the features is assessed in the context of a standard speaker identification and verification system. Complementary correlation between MFCCs and the modulation features is revealed by system fusion on score level. © 2012 Springer-Verlag.
著者Wang N., Ching P.C., Lee T.
會議名稱7th Chinese Conference on Biometric Recognition, CCBR 2012
會議開始日04.12.2012
會議完結日05.12.2012
會議地點Guangzhou
會議國家/地區中國
詳細描述ed. by Wei-Shi Zheng, Zhenan Sun, Yunhong Wang, Xilin Chen, Pong C. Yuen and Jianhuang Lai.
出版年份2012
月份12
日期26
卷號7701 LNCS
出版社Springer Verlag
出版地Germany
頁次251 - 259
國際標準書號9783642355059
國際標準期刊號0302-9743
語言英式英語
關鍵詞excitation modulation features, phase information, Speaker recognition

上次更新時間 2020-14-10 於 02:09