DEVELOPMENT OF VOICE ACTIVATED SPEAKER RECOGNITION SYSTEM.
- M.tech Student, Department of E&I, Bangalore Institute of Technology, Bengaluru.
- Assistant professor, Department of E&I, Bangalore Institute of Technology, Bengaluru.
- PG Coordinator, Department of E&I, Bangalore Institute of Technology, Bengaluru.
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In digital signal processing techniques, the first step is the pattern recognition problem, which is essentially solved using recognition system based on speaker method. This method is based on the individual information of the utterer(speaker) stored in the form of speech waves and recognizes the speaker automatically based on the information available. It is important to process the uttered signal for fast and accurate speaker recognition system. It involves authentication of a speaker from a large ensemble of possible speakers. In this paper we implemented feature extraction of speech signal using Mel Frequency Cepstral analysis (MFCC) and the result of MFCC analysis are a series of vector characteristics, used to build Vector Quantization (VQ) codebook.
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[Chaitra K N, Anjan Kumar B S and H N Suresh. (2017); DEVELOPMENT OF VOICE ACTIVATED SPEAKER RECOGNITION SYSTEM. Int. J. of Adv. Res. 5 (Jul). 770-776] (ISSN 2320-5407). www.journalijar.com
