Comparative Analysis of Different Windowing Techniques in MFCC Speaker Recognition
Aamir Eftikhar Bondre1, Meenakshi Ananth2, Nishu Nandita3, Sriragh Karat4, Sadashiva V Chakrasali5
1Aamir Eftikhar Bondre, Department of Electronics and Communication, MSRIT, Bangalore (Karnataka), India.
2Meenakshi Ananth, Department of Electronics and Communication, MSRIT, Bangalore (Karnataka), India.
3Nishu Nandita, Department of Electronics and Communication, MSRIT, Bangalore (Karnataka), India.
4Sriragh Karat, Department of Electronics and Communication, MSRIT, Bangalore (Karnataka), India.
5Sadashiva V Chakrasali, Department of Electronics and Communication, MSRIT, Bangalore (Karnataka), India.
Manuscript received on 12 June 2014 | Revised Manuscript received on 19 June 2014 | Manuscript Published on 30 June 2014 | PP: 23-27 | Volume-4 Issue-1, June 2014 | Retrieval Number: L16540531214/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speaker recognition is the process of automatically recognising the speaker on the basis of individual information included in speech waves. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Speaker recognition technology can be used in many services such as voice dialling, banking by telephone, telephone shopping, database access services, information services, voice mail, security control for confidential information areas, and remote access to computers. Feature extraction is an important process in speaker recognition. In this paper Mel Frequency Cepstrum Coefficients method is used in order to design a text dependent speaker recognition system. Different types of windowing methods are used during feature extraction. In this paper, a comparative analysis of different windowing techniques is done in order to determine the most effective windowing technique for MFCC speaker recognition.
Keywords: Speaker, MFCC, Mel, Frequency, Cepstrum, Coefficients.
Scope of the Article: Pattern Recognition