The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/

Huapeng Wang; Jun Yang

doi:10.1109/CISP.2010.5646800

The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/

Huapeng Wang^*, Jun Yang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The discriminant performance of likelihood ratios based on "Idiot's Bayes" approach and multivariate kernel density were examined on the speech of 21 male Chinese speakers using telephone recordings. The parameters used in this paper are formant central-frequencies, extracted from the Chinese vowel /a/. Experimental results show that the "Idiot's Bayes" approach provides a little stronger support for the same-speaker hypothesis and multivariate kernel density approach provides much stronger support for the different-speaker hypothesis; they both have good performance in Chinese vowel /a/.

Original language	English
Title of host publication	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages	3533-3537
Number of pages	5
DOIs	https://doi.org/10.1109/CISP.2010.5646800
Publication status	Published - 2010
Externally published	Yes
Event	2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China Duration: Oct 16 2010 → Oct 18 2010

Publication series

Name	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume	8

Conference

Conference	2010 3rd International Congress on Image and Signal Processing, CISP 2010
Country/Territory	China
City	Yantai
Period	10/16/10 → 10/18/10

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Signal Processing

Keywords

Forensic speaker identification
Idiot's Bayes
Likelihood ratio
Multivariate kernel-density

Access to Document

10.1109/CISP.2010.5646800

Cite this

Wang, H., & Yang, J. (2010). The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (pp. 3533-3537). Article 5646800 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 8). https://doi.org/10.1109/CISP.2010.5646800

@inproceedings{05652a0e8bba4d3d9ec05035765c0c10,

title = "The comparison of {"}Idiot's Bayes{"} and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/",

abstract = "The discriminant performance of likelihood ratios based on {"}Idiot's Bayes{"} approach and multivariate kernel density were examined on the speech of 21 male Chinese speakers using telephone recordings. The parameters used in this paper are formant central-frequencies, extracted from the Chinese vowel /a/. Experimental results show that the {"}Idiot's Bayes{"} approach provides a little stronger support for the same-speaker hypothesis and multivariate kernel density approach provides much stronger support for the different-speaker hypothesis; they both have good performance in Chinese vowel /a/.",

keywords = "Forensic speaker identification, Idiot's Bayes, Likelihood ratio, Multivariate kernel-density",

author = "Huapeng Wang and Jun Yang",

year = "2010",

doi = "10.1109/CISP.2010.5646800",

language = "English",

isbn = "9781424465149",

series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

pages = "3533--3537",

booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",

}

Wang, H & Yang, J 2010, The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/. in Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010., 5646800, Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010, vol. 8, pp. 3533-3537, 2010 3rd International Congress on Image and Signal Processing, CISP 2010, Yantai, China, 10/16/10. https://doi.org/10.1109/CISP.2010.5646800

The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/. / Wang, Huapeng; Yang, Jun.
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. 2010. p. 3533-3537 5646800 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 8).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/

AU - Wang, Huapeng

AU - Yang, Jun

PY - 2010

Y1 - 2010

N2 - The discriminant performance of likelihood ratios based on "Idiot's Bayes" approach and multivariate kernel density were examined on the speech of 21 male Chinese speakers using telephone recordings. The parameters used in this paper are formant central-frequencies, extracted from the Chinese vowel /a/. Experimental results show that the "Idiot's Bayes" approach provides a little stronger support for the same-speaker hypothesis and multivariate kernel density approach provides much stronger support for the different-speaker hypothesis; they both have good performance in Chinese vowel /a/.

AB - The discriminant performance of likelihood ratios based on "Idiot's Bayes" approach and multivariate kernel density were examined on the speech of 21 male Chinese speakers using telephone recordings. The parameters used in this paper are formant central-frequencies, extracted from the Chinese vowel /a/. Experimental results show that the "Idiot's Bayes" approach provides a little stronger support for the same-speaker hypothesis and multivariate kernel density approach provides much stronger support for the different-speaker hypothesis; they both have good performance in Chinese vowel /a/.

KW - Forensic speaker identification

KW - Idiot's Bayes

KW - Likelihood ratio

KW - Multivariate kernel-density

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DO - 10.1109/CISP.2010.5646800

M3 - Conference contribution

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SN - 9781424465149

T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

SP - 3533

EP - 3537

BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

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Y2 - 16 October 2010 through 18 October 2010

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Wang H, Yang J. The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. 2010. p. 3533-3537. 5646800. (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010). doi: 10.1109/CISP.2010.5646800

The comparison of "Idiot's Bayes" and multivariate kernel-density in forensic speaker identification using Chinese vowel /a/

Abstract

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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