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A new frequency scale of Chinese whispered speech in the application of speaker identification.

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Bibliographic Details
Title: A new frequency scale of Chinese whispered speech in the application of speaker identification.
Authors: Lin Wei1 Linwei_nju@hotmail.com, Yang Lili1, Xu Boling1
Source: Progress in Natural Science. Oct2006, Vol. 16 Issue 10, p1072-1078. 7p. 3 Charts, 4 Graphs.
Subjects: Speech, Voice frequency, Chinese language -- Data processing, Chinese characters, Audio frequency, Markov processes
Abstract: In this paper, the frequency characteristics of Chinese whispered speech were investigated by a filter bank analysis. It was shown that the first and the third formants were more important than the other formants in the speaker identification of Chinese whispered speech. The experiment showed that the 800–1200 Hz and 2800–3200 Hz ranges were the most significant frequency ranges in discriminating the speaker. Based on this result, a new feature scale named whisper sensitive scale (WSS) was proposed to replace the common scale, Met scale, and to extract the cepstral coefficient from whispered speech signal. Furthermore, a speaker identification sys tern in whispered speech was presented based on the modified Hidden Markov Models integrating advantages of WSCC (the whisper sensitive cepstral coefficient) and LPCC. And the new system performed better in solving the problem of speaker identification of Chinese whispered speech than the traditional method. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:In this paper, the frequency characteristics of Chinese whispered speech were investigated by a filter bank analysis. It was shown that the first and the third formants were more important than the other formants in the speaker identification of Chinese whispered speech. The experiment showed that the 800–1200 Hz and 2800–3200 Hz ranges were the most significant frequency ranges in discriminating the speaker. Based on this result, a new feature scale named whisper sensitive scale (WSS) was proposed to replace the common scale, Met scale, and to extract the cepstral coefficient from whispered speech signal. Furthermore, a speaker identification sys tern in whispered speech was presented based on the modified Hidden Markov Models integrating advantages of WSCC (the whisper sensitive cepstral coefficient) and LPCC. And the new system performed better in solving the problem of speaker identification of Chinese whispered speech than the traditional method. [ABSTRACT FROM AUTHOR]
ISSN:10020071
DOI:10.1080/10020070612330112