NDLI: Joint source-channel decoding approaches applied in adaptive multirate (AMR) speech transmission

Content Provider	IEEE Xplore Digital Library
Author	Wen Xu Marke, M.
Copyright Year	2001
Description	Author affiliation: Dept. of Mobile Phone Dev., Siemens AG, Munich, Germany (Wen Xu)
Abstract	Investigations are reported on joint source-channel (JSC) decoding applied in the adaptive multirate (AMR) speech codec for typical real speech. The studied approaches include the "HUK" method, two-step decoding, repeated decoding, and error concealment based on the so-called soft bit decoding. A method based on a Kalman filter for a priori information estimation is described, where both inter- and intra-frame correlation are taken into account. It is shown that for the AMR codec, although highly optimized in exploiting signal redundancy, some redundancy still remains in the encoded speech bits. By using an optimized JSC decoding algorithm like the repeated decoding, a gain of up to 0.2 dB in channel signal-to-noise ratio is achievable, compared to decoding without exploiting the residual redundancy. Under bad channel conditions, the error concealment algorithm can deliver an even better subjective speech quality.
Starting Page	2514
Ending Page	2518
File Size	493351
Page Count	5
File Format	PDF
ISBN	0780370058
ISSN	10903038
DOI	10.1109/VTC.2001.957203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Redundancy Speech codecs GSM Working environment noise Logic Mobile handsets Signal to noise ratio Protection Channel coding
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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