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Now the most serious problem in speaker recognition is the robustness of the system. A new feature fusion method based on MFCC and bispectrum feature is proposed in this paper to improve the robustness of the recognition system. Focusing on the high dimension and the large amount of data among the bispectrum feature spaces, the 1½ -dimension (1½ -D) spectrum is selected in order to improve system...
By combining Fractional Spectral Subtraction (FSS) with Perceptual Linear Predictive (PLP), a hybrid method of noise robustness speech recognition isinvestigated in this paper. This method uses FSS for noisy speech to reduce noise components in the fractional Fourier domain. According to the results ofcomputing Itakura distance and Mean Square Error (MSE), an approximate optimal fractional order is...
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