In this paper, we provide a concise overview for the user identification using his biometric featurespeech. Voice processing has multiple fields of research and is widely used in many applications. Speaker recognition to identify user is a complex process in which various techniques (feature extraction, feature matching, and identification) is used to match varied characteristics of voice between training and testing data to identify the user. This paper aims to discuss efficient method to implement the identification of user on basis of their biometric feature- speech.

1. Dr. Mahesh S. Chavan,Mrs. Sharada V. Chougule, "Speaker Features And Recognition Techniques: A Review",International Journal Of Computational Engineering Research / ISSN: 2250–3005
2. Michelle Cutajar, Edward Gatt, Ivan Grech, Owen Casha, Joseph Micallef, University of Malta, Tal-Qroqq, Msida, MSD 2080, Malta," Comparative study of automatic speech recognition Techniques",ietdl,2012
3. Parvati J. Chaudhary1, Kinjal M. Vagadia ,"A Review Article on Speaker Recognition with Feature Extraction",Ijetae, ISSN 2250-2459, ISO 9001:2008 Certified Journal,, Volume 5, Issue 2, February 2015
4. J. P. Campbell, Jr. , "Speaker Recognition: A Tutorial," Proceedings of IEEE, vol. 85, no. 9 , Sept. 1997
5. Varsha Singh, Vinay Kumar Jain, Dr. Neeta Tripathi," A Comparative Study on Feature Extraction Techniques for Language Identification",International Journal of Engineering Research and General Science Volume 2, Issue 3, April-May 2014
6. Alahari. Neelima, Gattupalli. Deepti," A Review on Speech Analysis and Automatic Speaker Recognition",International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 2, February 2015
7. Sandeep Joshi, Parag Parandkar," A Review of Feature Extraction Technique for Automatic Speech Recognition",International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064,2012
8. B. S. Atal, "Automatic recognition of speakers from their voices, " Proc. IEEE , vol. 64(4), pp. 460-75, Apr. 1976
9. G. Doddington, "Speaker recognition -identifying people by their voices, " Proc. IEEE , vol. 73, pp. 1651-64, 1985
10. D. A. Reynolds, ?Experimental Evaluation of Features for RobustSpeaker Identification?, IEEE Trans. on Speech and Audio Processing, vol. 2, issue-4, pp. 639-643, October, 1994
11. Ghahramani Z. , ?An Introduction to Hidden Markov Models andBayesian Networks?, International Journal of Pattern Recognition and Artificial Intelligence, vol. 5, issue-1, pp. 9-42, 2001
12. Markowitz J (2007) The many roles of speaker classification in speaker verification and identification. Springer Berlin Heidelberg 4343: 218-225
13. Sumit Srivastava, Mahesh Chandra, G Sahoo, Phase Based Mel Frequency Cepstral Coefficients for Speaker Identification",DOI: 10. 1007/978-81-322-2757-1_31 In book: Information Systems Design and Intelligent Applications, pp. 309-316
14. Sumit Srivastava, Pratibha Nandi, G. Sahoo, Mahesh Chandra, "Formant Based Linear Prediction Coefficients for Speaker Identification", 2014 International Conference on Signal Processing and Integrated Networks (SPIN), 978-1-4799-2866-8/14/$31. 00 ©2014 IEEE.

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