An Auditory Feature for Text-independent Speaker Recognition System
Wang Xiu-xin · Journal of Guangxi Normal University · 2010
The paper proposes a novel feature based on an auditory periphery model for robust speaker recognition.The sub-band energies of the extracted auditory features are calculated using a Gammatone filterband instead of commonly used triangle filter band.The center frequencies and bandwidths are then determined according to the equivalent rectangular bandwidth(ERB) model.Moreover,weighting the Gammatone filter bank by analyzing contribution of short-time spectrum in different frequency sub-bands,and using the CMS method to remove the varibility of channels are also investigated.Simulation results with Gaussian Mixture model indicate that the recognition accuracy is significantly improved by this auditory feature in the noisy environments for the text-indepentent speaker recognition,especially in low SNR environments.