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Mel Filterbank Slope (MFS) feature has been shown to consistently perform better than the conventional Mel Frequency Cepstral Co-efficients (MFCC) for speaker recognition. In this work, the issues with respect to the feature's robustness to intersession variability and large dimensionality are addressed. Short term feature warping is used to improve the robustness of MFS. This is observed to give...
This paper proposes a new noise robust feature extraction method for speech recognition. It is based on the discrete cosine transform and minimum variance distortionless response (MVDR) methods of spectrum estimation and differential power spectrum technique. The large bias drawback of the periodogram method can be solved by using DCT instead of FFT. The MVDR method can also increase the robustness...
To study effective speech features which can represent different emotion styles in infant voice, nonlinear features based on Teager Energy Operator are investigated. Neutral state and 4 emotional states (i.e. happiness, impatience, anger and fear) are classified from the infant voice database. MFCC extraction and HMM-based emotion classification are used as baseline system to evaluate the emotional...
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