Speech coding by the efficient transformation of the spectral envelope of subwords

The authors have developed a signal-dependent representation which captures, with a few KL vectors and transform coefficients, the perceptually and phonetically important structure of the spectral envelope. Together with a mixed excitation strategy with some novel features, this representation has been applied to the analysis, synthesis and coding of speech with promising results in the 5-kb/s range.<
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