Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications
<p/> <p>A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the...
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Online Access: | http://dx.doi.org/10.1155/S1110865703304056 |
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doaj-ede7289f2d154a2292200ded967d18ec2020-11-24T23:26:35ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-01-01200310653129Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting ApplicationsBradley Alan BLech MargaretAthaudage Chandranath RN<p/> <p>A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the event localization was performed based on a spectral stability criterion. Although this approach gave reasonably good results, there was no assurance on the optimality of the event locations. In the present work, we have optimized the event localizing task using a dynamic programming-based optimization strategy. Simulation results show that an improved TD model accuracy can be achieved. A methodology of incorporating the optimized TD algorithm within the standard MELP speech coder for the efficient compression of speech spectral information is also presented. The performance evaluation results revealed that the proposed speech coding scheme achieves 50%–60% compression of speech spectral information with negligible degradation in the decoded speech quality.</p>http://dx.doi.org/10.1155/S1110865703304056temporal decompositionspeech codingspectral parametersdynamic programmingquantization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bradley Alan B Lech Margaret Athaudage Chandranath RN |
spellingShingle |
Bradley Alan B Lech Margaret Athaudage Chandranath RN Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications EURASIP Journal on Advances in Signal Processing temporal decomposition speech coding spectral parameters dynamic programming quantization |
author_facet |
Bradley Alan B Lech Margaret Athaudage Chandranath RN |
author_sort |
Bradley Alan B |
title |
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications |
title_short |
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications |
title_full |
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications |
title_fullStr |
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications |
title_full_unstemmed |
Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications |
title_sort |
model-based speech signal coding using optimized temporal decomposition for storage and broadcasting applications |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2003-01-01 |
description |
<p/> <p>A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the event localization was performed based on a spectral stability criterion. Although this approach gave reasonably good results, there was no assurance on the optimality of the event locations. In the present work, we have optimized the event localizing task using a dynamic programming-based optimization strategy. Simulation results show that an improved TD model accuracy can be achieved. A methodology of incorporating the optimized TD algorithm within the standard MELP speech coder for the efficient compression of speech spectral information is also presented. The performance evaluation results revealed that the proposed speech coding scheme achieves 50%–60% compression of speech spectral information with negligible degradation in the decoded speech quality.</p> |
topic |
temporal decomposition speech coding spectral parameters dynamic programming quantization |
url |
http://dx.doi.org/10.1155/S1110865703304056 |
work_keys_str_mv |
AT bradleyalanb modelbasedspeechsignalcodingusingoptimizedtemporaldecompositionforstorageandbroadcastingapplications AT lechmargaret modelbasedspeechsignalcodingusingoptimizedtemporaldecompositionforstorageandbroadcastingapplications AT athaudagechandranathrn modelbasedspeechsignalcodingusingoptimizedtemporaldecompositionforstorageandbroadcastingapplications |
_version_ |
1725554499370614784 |