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