DocumentCode :
3000069
Title :
Multi-dimensional quantization applied to predictive coding of speech
Author :
Svendsen, Torbjørn
Author_Institution :
ELAB, Trondheim-NTH, Norway
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
3063
Lastpage :
3066
Abstract :
The properties of several multi-dimensional quantizers (VQ, tree and trellis coders) have been investigated. The multi-dimensional quantizers yield a superior distortion performance for direct quantization of stationary sources. Incorporated in a predictive speech coding scheme, NFC, the use of multi-dimensional quantizers improves speech quality noticably. A subjective test indicate that NFC with trellis coding is a promising candidate for speech coding at 16 kbit/s.
Keywords :
Adaptive filters; Design methodology; Iterative methods; Minimization methods; Predictive coding; Sampling methods; Speech coding; Speech processing; Stochastic processes; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168696
Filename :
1168696
Link To Document :
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