Published May 4, 2016
| Version 10004820
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Performance Evaluation of Acoustic-Spectrographic Voice Identification Method in Native and Non-Native Speech
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The paper deals with acoustic-spectrographic voice
identification method in terms of its performance in non-native
language speech. Performance evaluation is conducted by comparing
the result of the analysis of recordings containing native language
speech with recordings that contain foreign language speech. Our
research is based on Tajik and Russian speech of Tajik native
speakers due to the character of the criminal situation with drug
trafficking. We propose a pilot experiment that represents a primary
attempt enter the field.
identification method in terms of its performance in non-native
language speech. Performance evaluation is conducted by comparing
the result of the analysis of recordings containing native language
speech with recordings that contain foreign language speech. Our
research is based on Tajik and Russian speech of Tajik native
speakers due to the character of the criminal situation with drug
trafficking. We propose a pilot experiment that represents a primary
attempt enter the field.
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References
- T. I. Goloshchapova, Yu. A., Elemeshina, "Expert-Linguistic Methods for Identification of Tajik Native Speakers," in The 20th International Science Conference on Informatization and Information Protection of Law Enforcement, 2011, pp. 402-405.
- S. L. Koval, P. I. Zubova, "Speaker identification by his voice and speech on the basis of complex analysis of phonograms," Theory and practice of forensic expertise, № 3 (7), pp. 68-76, Dec. 2007.
- U. Bhattacharjee, K. Sarmah, "Speaker Verification Using Acoustic and Prosodic Features." Advanced Computing International Journal, vol. 4, 1, pp. 45-51, Jan. 2013.
- A. R. Butcher, "Forensic Phonetics: Issues in Speaker Identification Evidence," in Inaugural International Conference of the Institute of Forensic Studies, 2002, pp. 3-5.
- K. Simonchik, T. Pekhovsky, A Shulipa, A. Afanasyev, "Supervised Mixture of PLDA Models for Cross-Channel Speaker Verification," in Interspeech-2012, http://speechprousa. com/files/filefield_stats/1798/1171/0/bf1ea2362f49c270c85a812b7b 8e8311
- The NIST year 2010 speaker recognition evaluation plan, http://www.itl.nist.gov/iad/mig/tests/spk/2010/NIST_SRE10_evalplan.r6 .pdf
- S. Aleinik, Yu. Matveev, A. Raev, "Method of Evaluation of Speech signal clipping level," Scientific and Technical Journal of Information Technologies, Mechanics, and Optics, vol. 79, 3, pp. 79-83, May 2012.
- Y. Matveev, K. Simonchik, "The Speaker Identification System for the NIST SRE 2010," in The 20th International Conference on Computer Graphics and Vision, GraphiCon, 2010, pp. 315-319.
- A. Kozlov, O. Kudashev, Yu. Matveev, T. Pekhovsky, K. Simonchik, A. Shulipa, "SVID Speaker Recognition System for NIST SRE 2012," in Speech and Computer: Lecture Notes in Computer Science, 2013, vol. 8113, pp. 278-285. [10] C. S. Greenberg, A. F. Martin, L. Brandschain, J. P. Campbell, Ch. Cieri, G. R. Doddington, J. J. Godfrey, "Human Assisted Speaker Recognition in NIST SRE10," in Odyssey, 2010, pp. 180-185.