论文信息 - Automatic speaker verification based on fractional Brownian motion process

Automatic speaker verification based on fractional Brownian motion process

A novel text-independent verification system based on the fractional Brownian motion (M_dim_fBm) for automatic speaker recognition is presented. The performance results of the M_dim_fBm were compared to those achieved with the Gaussian mixture models (GMM) classifier using the mel-cepstral coefficients. A speech database, obtained from fixed and cellular phones, uttered by 75 different speakers was used. The results have shown the superior performance of the M_dim_fBm classifier in terms of recognition accuracy. In addition, the proposed verification scheme employs a much simpler modelling structure as compared to the GMM.

[1] J. Echauz,et al. Fractal dimension characterizes seizure onset in epileptic patients , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[2] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .

[3] Y. Hashimoto,et al. Pattern recognition of fruit shape based on the concept of chaos and neural networks , 2000 .

[4] H. E. Hurst,et al. Long-Term Storage Capacity of Reservoirs , 1951 .

[5] Douglas A. Reynolds,et al. Integrated models of signal and background with application to speaker identification in noise , 1994, IEEE Trans. Speech Audio Process..

[6] Patrice Abry,et al. A Wavelet-Based Joint Estimator of the Parameters of Long-Range Dependence , 1999, IEEE Trans. Inf. Theory.

[7] Heinz-Otto Peitgen,et al. The science of fractal images , 2011 .

[8] Douglas A. Reynolds,et al. Experimental evaluation of features for robust speaker identification , 1994, IEEE Trans. Speech Audio Process..

[9] Douglas A. Reynolds,et al. Robust text-independent speaker identification using Gaussian mixture speaker models , 1995, IEEE Trans. Speech Audio Process..