Automatic Speaker Recognition system using Mel Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) approach
International Conference on Electrical, Computer and Telecommunication Engineering 01- 02 December 2012(ICECTE2012), RUET, Rajshahi-6204, Bangladesh;ICECTE2012; PI-0147
In this paper, automatic speaker recognition system is implemented by combining feature extraction and feature matching technique. Feature extraction method that is implemented by the Mel Frequency Cepstral Coefficients (MFCC). The Vector Quantization (VQ) is done using k-means algorithm that is used for the feature matching technique due to high accuracy but its simplicity. A speaker recognition experiments was performed using a 5-talkers (3 male and 2 female) with different conditions of Bangla sentence utterances. So, in this proposal achieved 96% efficiency for text dependent or independent speaker recognition system with 60 -90 seconds duration test voice sample.
