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Discrete wavelet transform in recognition human emotional movement through knocking
(IEEE Conference Publications, 2013)
Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ...
Classification of speech dysfluencies with MFCC and LPCC features
(Elsevier Ltd., 2012-02)
The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ...