Perceptual audio modeling with exponentially damped sinusoids
Signal Processing - Content-based image and video retrieval
Speech coding using the matrix pencil
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Strongly concave star-shaped contour characterization by algebra tools
Signal Processing
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A generalized sinusoidal model for speech signal processing is studied. The main feature of the model is that the amplitude of each sinusoidal component is allowed to vary exponentially with time. We propose to use the model in transitional speech segments such as speech onsets and voiced/unvoiced transitions. Computer simulations with natural speech signals indicate substantial better modeling performance in both transitional and voiced regions compared with the traditional constant-amplitude sinusoidal model.