Title :
An analysis-by-synthesis linear predictive model for narrowband speech coding
Author_Institution :
Comsat Lab., Clarksburg, MD
Abstract :
An analysis-by-synthesis linear predictive model for narrowband speech coding is proposed. By introducing a perceptually weighted distortion measure between the original speech and the reconstructed speech, both the voiced/unvoiced decision and the pitch estimation/tracking are implicitly optimized. The excitation model includes two codebooks. The unvoiced codebook contains a collection of random sequences, and the voiced codebook contains a pitch synthesizer with a different pitch period and pitch gain. A 2.4-kb/s and a 1.2-kb/s speech coder are used as examples. An efficient method for closed-loop spectrum filter analysis is presented
Keywords :
decoding; encoding; filtering and prediction theory; speech analysis and processing; analysis-by-synthesis linear predictive model; closed-loop spectrum filter analysis; excitation model; narrowband speech coding; perceptually weighted distortion measure; pitch estimation/tracking; pitch gain; pitch period; pitch synthesizer; random sequences collection; unvoiced codebook; voiced codebook; voiced/unvoiced decision; Acoustic distortion; Distortion measurement; Filters; Narrowband; Predictive models; Random sequences; Speech analysis; Speech coding; Speech synthesis; Synthesizers; Weight measurement;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115575
