DocumentCode
3053765
Title
Full search and tree searched vector quantization of speech waveforms
Author
Gray, R.M. ; Abut, H.
Author_Institution
Stanford University, Stanford, CA, USA
Volume
7
fYear
1982
fDate
30072
Firstpage
593
Lastpage
596
Abstract
Vector quantizers of one and two bits per sample are designed for a training sequence of 640000 speech samples and tested on a speaker not in the training sequence. Both full search vector quantizers and tree search vector quantizers are considered. The tree searched codes are suboptimal in an information theory sense, but they have a greatly reduced search effort and provide a vector successive approximation quantizer.
Keywords
Algorithm design and analysis; Decoding; Distortion measurement; Information theory; Phase change materials; Sampled data systems; Sampling methods; Speech; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
Type
conf
DOI
10.1109/ICASSP.1982.1171603
Filename
1171603
Link To Document