Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30836
Performance Evaluation of Acoustic-Spectrographic Voice Identification Method in Native and Non-Native Speech

Authors: E. Bulgakova, E. Krasnova, V. Shchemelinin


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.

Keywords: speaker identification, non-native speech, acoustic-spectrographic method

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 545


[1] 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.
[2] 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.
[3] U. Bhattacharjee, K. Sarmah, “Speaker Verification Using Acoustic and Prosodic Features.” Advanced Computing International Journal, vol. 4, 1, pp. 45-51, Jan. 2013.
[4] A. R. Butcher, “Forensic Phonetics: Issues in Speaker Identification Evidence,” in Inaugural International Conference of the Institute of Forensic Studies, 2002, pp. 3-5.
[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
[6] The NIST year 2010 speaker recognition evaluation plan, .pdf
[7] 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.
[8] 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.
[9] 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.