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Multi-SNR GMMs-Based Noise-Robust Speaker Verification Using 1/fa Noises

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2 Author(s)
Liping Yang ; Key Lab. of Opto-Electron. Technol. & Syst., ChongQing Univ. ; Weiguo Gong

Environmental noises greatly degrade the performance of speaker verification system. This paper designs a novel noise-robust speaker verification system based on multi-SNR techniques using 1/falpha noises. During training phase, the 1/falpha noises are employed to simulate environmental noises. To simplify the computation load, an optimal value of alpha is selected. To evaluate the performance of the system, speaker verification experiments are conducted on 5 kinds of environmental noises: "airport", "bus", "lobby", "restaurant", and "office" at 0 dB SNR. The experimental results demonstrate that a notable degradation of verification error rates is obtained while using 1/falpha noises

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:4 )

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