TY  - JOUR
AU  - Sumithra, M. G. 
AU  - Thanuskodi, K. 
AU  - Archana, A. Helen Jenifer 
PY  - 2011
TI  - A New Speaker Recognition System with Combined Feature Extraction Techniques
JF  - Journal of Computer Science
VL  - 7
IS  - 4
DO  - 10.3844/jcssp.2011.459.465
UR  - https://thescipub.com/abstract/jcssp.2011.459.465
AB  - Problem statement: This study introduces a new method for speaker verification system by
fusing two different feature extraction methods to improve the recognition accuracy and security.
Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification
and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The
proposed system was investigated the effect of the different length segmental feature as well as speaker
modeling for speaker recognition. The performance was evaluated against 1000 speakers for 10
different languages with duration of 10 sec for training the system and for testing 5 sec. duration
samples were used. Conclusion/Recommendations: Experimental results of the proposed system
showed that higher recognition accuracy of 93% is achieved by increasing the number of filter banks
used for feature extraction method, more competitive with existing system using vector quantization
with lesser computational complexity. The system efficiency may further be improved using other
speaker modeling techniques like GMM, HMM.