DocumentCode :
323489
Title :
Optimal transform for segmented parametric speech coding
Author :
Mudugamuwa, Damith J. ; Bradley, Alan B.
Author_Institution :
Dept. of Commun. & Electron. Eng., RMIT, Vic., Australia
Volume :
1
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
53
Abstract :
In voice coding applications where there is no constraint on the encoding delay, such as store and forward message systems or voice storage, segment coding techniques can be used to achieve a reduction in data rate without compromising the level of distortion. For low data rate linear predictive coding schemes, increasing the encoding delay allows one to exploit any long term temporal stationarities on an interframe basis, thus reducing the transmission bandwidth or storage needs of the speech signal. Transform coding has previously been applied in low data rate speech coding to exploit both the interframe and the intraframe correlation. This paper investigates the potential for optimising the transform for segmented parametric representation of speech
Keywords :
bandwidth compression; discrete cosine transforms; linear predictive coding; optimisation; signal representation; spectral analysis; speech coding; transform coding; 2D DCT; Karhunen-Loeve Transform; LPC; data rate reduction; distortion level; encoding delay; interframe correlation; intraframe correlation; line spectral frequencies; linear predictive coding; long term temporal stationarities; low data rate; optimal transform; segmented parametric representation; segmented parametric speech coding; store and forward message systems; transform coding; transmission bandwidth reduction; voice coding applications; voice storage; Bit rate; Compaction; Delay; Discrete cosine transforms; Encoding; Karhunen-Loeve transforms; Speech analysis; Speech coding; Speech synthesis; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.674365
Filename :
674365
Link To Document :
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