Speaker Recognition system and it’s Applications
Arundhati Y. Niwatkar1, Y. K. Kanse2 

1Arundhati Y. Niwatkar, Assistant Professor in Department of Electronics, in UMIT, SNDT Women’s University, Mumbai.
2Dr. Y. K. Kanse, Associate Professor in Department of Electronics, Karmaveer Bhaurao Patil College of Engg, Satara,India.

Manuscript received on 09 March 2019 | Revised Manuscript received on 16 March 2019 | Manuscript published on 30 July 2019 | PP: 6429-6432 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3719078219/19©BEIESP | DOI: 10.35940/ijrte.B3719.078219
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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 task in which the speaker is identified based on various features from his speech. Speaker recognition is combination of various mathematical operations in which training and testing is the major part. For speaker recognition its very important to extract the features. So far many researches are going on about feature extraction techniques like MFCC, IMFCC etc. In which features can be extracted, but for the exact speaker recognition its very important to get the exact and accurate features so that we can increase the success rate of speaker recognition. For any speaker recognition system feature extraction is the primary and very important step. So the precise result depends on the accurate result of feature extraction technique. In this paper we are proposing a modified feature extraction system.
Index Terms: IMFCC, MFCC

Scope of the Article: Pattern Recognition