TY - GEN
T1 - Variable length teager energy based mel cepstral features for identification of twins
AU - Patil, Hemant A.
AU - Parhi, Keshab K.
PY - 2009
Y1 - 2009
N2 - An important issue which must be addressed for the speaker recognition system is how well the system resists the effects of determined mimics such as those based on physiological characteristics especially twins. In this paper, a new feature set based on recently proposed Variable Length Teager Energy Operator (VTEO) and state-of-the-art Mel frequency cepstral coefficients (MFCC) is developed. The effectiveness of the newly derived feature set in identifying twins in Marathi language has been demonstrated. Polynomial classifiers of 2 nd and 3 rd order have been used. The results have been compared with other spectral feature sets such as Linear Prediction Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and baseline MFCC.
AB - An important issue which must be addressed for the speaker recognition system is how well the system resists the effects of determined mimics such as those based on physiological characteristics especially twins. In this paper, a new feature set based on recently proposed Variable Length Teager Energy Operator (VTEO) and state-of-the-art Mel frequency cepstral coefficients (MFCC) is developed. The effectiveness of the newly derived feature set in identifying twins in Marathi language has been demonstrated. Polynomial classifiers of 2 nd and 3 rd order have been used. The results have been compared with other spectral feature sets such as Linear Prediction Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and baseline MFCC.
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U2 - 10.1007/978-3-642-11164-8_85
DO - 10.1007/978-3-642-11164-8_85
M3 - Conference contribution
AN - SCOPUS:76249092147
SN - 3642111637
SN - 9783642111631
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 525
EP - 530
BT - Pattern Recognition and Machine Intelligence - Third International Conference, PReMI 2009, Proceedings
T2 - 3rd International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009
Y2 - 16 December 2009 through 20 December 2009
ER -