Digital Signal Processing
2016-08-23
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The Speech Encoding and Decoding Algorithm
Once the speech has been fully encoded, the necessary algorithms can be implemented to reconstruct the speech. The end result will be a synthetic speech that can be transmitted with as little bandwidth as possible if necessary. The hope is that the synthetically reproduced speech is an intelligible approximation to the original speech. The following steps explainthe logical flow of the decoding algorithm.
Create the glottal excitation model - The LPC coefficients that characterize the frame willact as a vocal tract filter. That which is input to the filter is theexcitation.
For voiced speech, the excitation will be a periodicsignal of all zeros with impulses every pitch period. This is asimplified model of the glottal excitation. For unvoiced speech, theexcitation will simply be white noise.
Inverse filter the excitation through the LPC coefficient filter.
The output of the vocal tract filter is further filtered throug
Once the speech has been fully encoded, the necessary algorithms can be implemented to reconstruct the speech. The end result will be a synthetic speech that can be transmitted with as little bandwidth as possible if necessary. The hope is that the synthetically reproduced speech is an intelligible approximation to the original speech. The following steps explainthe logical flow of the decoding algorithm.
Create the glottal excitation model - The LPC coefficients that characterize the frame willact as a vocal tract filter. That which is input to the filter is theexcitation.
For voiced speech, the excitation will be a periodicsignal of all zeros with impulses every pitch period. This is asimplified model of the glottal excitation. For unvoiced speech, theexcitation will simply be white noise.
Inverse filter the excitation through the LPC coefficient filter.
The output of the vocal tract filter is further filtered throug
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