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Dynamic programming based optimum non-uniform samples for speech reconstruction and coding

Ghosh, Prasanta Kumar and Sreenivas, TV (2006) Dynamic programming based optimum non-uniform samples for speech reconstruction and coding. In: 31st IEEE International Conference on Acoustics, Speech and Signal Processing,, May 14-19, 2006, Toulouse, France, pp. 1221-1224.

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Non-uniform sampling of a signal is formulated as an optimization problem which minimizes the reconstruction signal error. Dynamic programming (DP) has been used to solve this problem efficiently for a finite duration signal. Further, the optimum samples are quantized to realize a speech coder. The quantizer and the DP based optimum search for non-uniform samples (DP-NUS) can be combined in a closed-loop manner, which provides distinct advantage over the open-loop formulation. The DP-NUS formulation provides a useful control over the trade-off between bitrate and performance (reconstruction error). It is shown that 5-10 dB SNR improvement is possible using DP-NUS compared to extrema sampling approach. In addition, the close-loop DP-NUS gives a 4-5 dB improvement in reconstruction error.

Item Type: Conference Paper
Series.: International Conference on Acoustics Speech and Signal Processing (ICASSP)
Publisher: IEEE
Additional Information: Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 27 Aug 2010 04:58
Last Modified: 19 Sep 2010 06:12
URI: http://eprints.iisc.ac.in/id/eprint/30479

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