DocumentCode :
3011402
Title :
Vector predictive quantization of the spectral parameters for low rate speech coding
Author :
Shoham, Yair
Author_Institution :
AT&T Bell Laboratories, Murray Hill, NJ
Volume :
12
fYear :
1987
fDate :
31868
Firstpage :
2181
Lastpage :
2184
Abstract :
Vector Predictive Quantization (VPQ) is proposed for coding the short-term spectral envelope of speech. The proposed VPQ scheme predicts the current spectral envelope from several past spectra, using a predictor codebook. The residual spectrum is coded by a residual codebook. The system operates in the log-spectral domain using a sampled version of the spectral envelope. Experimental results indicate a prediction gain in the range of 9 to 13 dB and an average log-spectral distance of 1.3 to 1.7 dB. Informal listening tests suggest that replacing the conventional scalar quantizer in a 4.8 Kbits/s CELP coder by a VPQ system allows a reduction of the rate assigned to the LPC data from 1.8 Kbits/s to 1.0 Kbits/s without any obvious difference in the perceptual quality.
Keywords :
Delay; Linear predictive coding; Nonlinear filters; Quantization; Signal processing; Speech analysis; Speech coding; Switches; System testing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type :
conf
DOI :
10.1109/ICASSP.1987.1169360
Filename :
1169360
Link To Document :
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