DocumentCode :
3623224
Title :
Vector quantization of speech LSP parameters using trellis codes and l/sub 1/-norm constraints
Author :
J. Pan;T.R. Fischer
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
2
fYear :
1993
Firstpage :
17
Abstract :
Trellis-coded vector quantization (TCVQ) is used to encode line spectrum pair (LSP) parameters. Three intraframe encoding schemes are considered: direct encoding of the LSP vectors, encoding the differences of LSP parameters, and using nonlinear prediction in encoding the LSP vectors. The last encoding scheme is the best; it can achieve 1-dB spectral distortion using about 27 bits for each speech frame. An alternative LSP coder based on an l/sub 1/-norm constrained vector quantizer is also described. This two-stage VQ encoding scheme uses 25 bits/frame to achieve about 1-dB spectral distortion.
Keywords :
"Vector quantization","Speech coding","Convolutional codes","Linear predictive coding","Encoding","Distortion measurement","Filters","Frequency","Computer science","Nonlinear distortion"
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-0946-4;0-7803-7402-9;0-7803-7402-9;0-7803-7402-9;0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319217
Filename :
319217
Link To Document :
بازگشت