A New Approach to Approximation of Pitch and Gain Contours Using Temporal Decomposition
Fundamental frequency (F0) and energy of speech represented by pitch and gain contours are two fundamental concepts of excitation signals in model-based speech coding systems. To compress these parameters in very low-rate speech coding where the simplest form of excitation is used, only differential pitch and gain trackers are used at the expense of a perceivable distortion. To alleviate this problem, a new technique is proposed which effectively compresses the pitch and the gain information using temporal decomposition (TD) based on the relationship between vocal tract characteristics, fundamental frequency, and speech energy.
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