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Identification experiments were performed to assess the relative importance of Fourier phase versus amplitude for Ž . intervocalic stop consonant perception. In the first experiment, three types of stimuli were constructed from VCV signals: 1 Swapped stimuli, a swapped stimulus has the amplitude spectra of its consisting segments from one VCV signal and its(More)
The Gaussian mixture modeling (GMM) techniques are increasingly being used for both speaker identification and verification. Most of these models assume diagonal covariance matrices. Although empirically any distribution can be approximated with a diagonal GMM, a large number of mixture components are usually needed to obtain a good approximation. A(More)
VQ-based speaker recognition has proven to be a successful method. Usually, a codebook is trained to minimize the quantization error for the data from an individual speaker. The codebooks trained based on this criterion have weak discriminative power when used as a classifier. The LVQ algorithm can be used to globally train the VQ-based classifier. However,(More)
In speech recognition based on LPC analysis the prediction residues are usually ignored, only the LPC-derived cepstral coefficients (LPCC) are used to compose feature vectors. In this study, a number of parameters (named as RCEP) were calculated from these residues and their effectiveness for speech recognition was evaluated. It was shown that the RCEP do(More)