DocumentCode :
2963417
Title :
Spectral entropy-based wideband speech coding
Author :
Kokes, Mark G. ; Gibson, Jerry D.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
Volume :
2
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
1464
Abstract :
Wideband speech coding is concerned with speech in the 50 Hz to 7 kHz band and is important in video-conferencing applications. For a new standard at 24 and 32 kbits/s, G.722.1, standardization efforts are underway to achieve good quality wideband speech at 14-16 kbits/s. We present a new approach to wideband speech compression based upon spectral entropy. This approach is sample function adaptive and falls within the class of nonlinear approximation methods in that it codes the best n basis functions rather than allocate bits to the first n. We develop spectral entropy-based wideband speech coders that operate at both 24 and 16 kbits/s.
Keywords :
code standards; data compression; entropy codes; spectral analysis; speech codecs; teleconferencing; 14 to 16 kbit/s; 24 kbit/s; 32 kbit/s; 50 Hz to 7 kHz; G.722.1; SpEnt; nonlinear approximation methods; sample function adaptive approach; spectral entropy-based wideband speech coding; standard; video-conferencing; wideband speech compression; Approximation methods; Entropy; Laboratories; Multimedia communication; Quantization; Random processes; Speech codecs; Speech coding; Teleconferencing; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.911233
Filename :
911233
Link To Document :
بازگشت