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

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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]
Copyright of Progress in Natural Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A new frequency scale of Chinese whispered speech in the application of speaker identification.
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  Data: <searchLink fieldCode="AR" term="%22Lin+Wei%22">Lin Wei</searchLink><relatesTo>1</relatesTo><i> Linwei_nju@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Yang+Lili%22">Yang Lili</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xu+Boling%22">Xu Boling</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Progress+in+Natural+Science%22">Progress in Natural Science</searchLink>. Oct2006, Vol. 16 Issue 10, p1072-1078. 7p. 3 Charts, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Voice+frequency%22">Voice frequency</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+language+--+Data+processing%22">Chinese language -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+characters%22">Chinese characters</searchLink><br /><searchLink fieldCode="DE" term="%22Audio+frequency%22">Audio frequency</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Progress in Natural Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10020070612330112
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        Text: English
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        PageCount: 7
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        Type: general
      – SubjectFull: Voice frequency
        Type: general
      – SubjectFull: Chinese language -- Data processing
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      – SubjectFull: Chinese characters
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      – SubjectFull: Markov processes
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      – TitleFull: A new frequency scale of Chinese whispered speech in the application of speaker identification.
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              Text: Oct2006
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              Y: 2006
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