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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Main Authors: Bradley Alan B, Lech Margaret, Athaudage Chandranath RN
Format: Article
Language:English
Published: SpringerOpen 2003-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865703304056
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spelling 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%&#8211;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%&#8211;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
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