Quantitative Measure of Speaker Specific Information in Human Voice: From the Perspective of Information Theoretic Approach

Domestic Journal
2005-03-01 00:26
Authors : Samuel Kim, Jung-Tae Seo, Hong-Goo Kang

Year : 2005

Publisher / Conference : 한국음향학회지

Volume : 24, 제 1호

Page : 16-20

A novel scheme to measure the speaker information in speech signal is proposed. We develope the theory of quantitative measurement of the speaker characteristics in the information theoretic point of view, and connect it to the classification error rate. Homomorphic analysis based features, such as mel frequency cepstral coefficient (MFCC), linear prediction cepstral coefficient (LPCC), and linear frequency cepstral coefficient (LFCC) are studied to measure speaker specific information contained in those feature sets by computing mutual information. Theories and experimental results provide us quantitative measure of speaker information in speech signal.
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