TY - GEN
T1 - On the use of voting methods for speaker identification based on various resolution filterbanks
AU - Lee, Bong Jin
AU - Yoon, Sung Wan
AU - Kang, Hong Goo
AU - Youn, Dae Hee
PY - 2006
Y1 - 2006
N2 - This paper proposes a novel speaker identification system based on score fusion of various resolution filterbanks. The proposed system uses multiple features which are extracted from filterbanks having various spectral resolutions. Each speaker model is constructed by independent feature set, but the system makes final decision by combining the outcome of each model. We introduce several well-known voting methods for decision. Simulation results using TIMIT database show that the proposed score fusion method significantly improves speaker identification performance compared to single model one. Especially, 59.28% of relative improvement is achieved by using a product rule.
AB - This paper proposes a novel speaker identification system based on score fusion of various resolution filterbanks. The proposed system uses multiple features which are extracted from filterbanks having various spectral resolutions. Each speaker model is constructed by independent feature set, but the system makes final decision by combining the outcome of each model. We introduce several well-known voting methods for decision. Simulation results using TIMIT database show that the proposed score fusion method significantly improves speaker identification performance compared to single model one. Especially, 59.28% of relative improvement is achieved by using a product rule.
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M3 - Conference contribution
AN - SCOPUS:33947654384
SN - 142440469X
SN - 9781424404698
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - I917-I920
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -