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Mixture Gaussian envelope chirp model for speech and audio

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2 Author(s)
Mondal, B. ; Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India ; Sreenivas, T.V.

We develop a parametric sinusoidal analysis/synthesis model which can be applied to both speech and audio signals. These signals are characterised by large amplitude variations and small frequency variation within a short analysis frame. The model comprises of a Gaussian mixture representation for the envelope and a sum of linear chirps for the frequency components. A closed form solution is derived for the frequency domain parameters of a chirp with Gaussian-mixture envelope, based on the spectral moments. An iterative algorithm is developed to select and estimate prominent chirps based on the psycho-acoustic masking threshold. The model can adaptively select the number of time-domain and frequency-domain parameters to suit a particular type of signal. Experimental evaluation of the technique has shown that about 2 to 4 parameters/ms is sufficient for near transparent quality reconstruction of a variety of wide-band music and speech signals

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Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:2 )

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