Speech compression using compressive sensing on a multicore system

Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals, i.e. speech signal. Compressive sensing is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transm...

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Main Authors:	Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/2313/ http://irep.iium.edu.my/2313/1/Gunawan_SpeechCodingCompressiveSensingv2.pdf

id	iium-2313
recordtype	eprints
spelling	iium-23132012-05-10T00:06:20Z http://irep.iium.edu.my/2313/ Speech compression using compressive sensing on a multicore system Gunawan, Teddy Surya Khalifa, Othman Omran Shafie, Amir Akramin Ambikairajah, Eliathamby TK Electrical engineering. Electronics Nuclear engineering Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals, i.e. speech signal. Compressive sensing is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. In this paper, a novel algorithm for speech coding utilizing CS principle is developed. The sparsity of speech signals is exploited using gammatone filterbank and Discrete Cosine Transform (DCT) in which the compressive sensing principle is then applied to the sparse subband signals. All parameters will be optimized using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). In order to further reduce the bit requirement, vector quantization using codebook of the training signals will be added to the system. The performance of overall algorithms will be evaluated based on the processing time and speech quality. Finally, to speed up the process, the proposed algorithm will be implemented in a multicore system, i.e. six cores, using Single Program Multiple Data (SPMD) parallel paradigm. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/2313/1/Gunawan_SpeechCodingCompressiveSensingv2.pdf Gunawan, Teddy Surya and Khalifa, Othman Omran and Shafie, Amir Akramin and Ambikairajah, Eliathamby (2011) Speech compression using compressive sensing on a multicore system. In: 4th International Conference on Mechatronics (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Gunawan, Teddy Surya Khalifa, Othman Omran Shafie, Amir Akramin Ambikairajah, Eliathamby Speech compression using compressive sensing on a multicore system
description	Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals, i.e. speech signal. Compressive sensing is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. In this paper, a novel algorithm for speech coding utilizing CS principle is developed. The sparsity of speech signals is exploited using gammatone filterbank and Discrete Cosine Transform (DCT) in which the compressive sensing principle is then applied to the sparse subband signals. All parameters will be optimized using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). In order to further reduce the bit requirement, vector quantization using codebook of the training signals will be added to the system. The performance of overall algorithms will be evaluated based on the processing time and speech quality. Finally, to speed up the process, the proposed algorithm will be implemented in a multicore system, i.e. six cores, using Single Program Multiple Data (SPMD) parallel paradigm.
format	Conference or Workshop Item
author	Gunawan, Teddy Surya Khalifa, Othman Omran Shafie, Amir Akramin Ambikairajah, Eliathamby
author_facet	Gunawan, Teddy Surya Khalifa, Othman Omran Shafie, Amir Akramin Ambikairajah, Eliathamby
author_sort	Gunawan, Teddy Surya
title	Speech compression using compressive sensing on a multicore system
title_short	Speech compression using compressive sensing on a multicore system
title_full	Speech compression using compressive sensing on a multicore system
title_fullStr	Speech compression using compressive sensing on a multicore system
title_full_unstemmed	Speech compression using compressive sensing on a multicore system
title_sort	speech compression using compressive sensing on a multicore system
publishDate	2011
url	http://irep.iium.edu.my/2313/ http://irep.iium.edu.my/2313/1/Gunawan_SpeechCodingCompressiveSensingv2.pdf
first_indexed	2023-09-18T20:09:53Z
last_indexed	2023-09-18T20:09:53Z
_version_	1777407406152613888

Speech compression using compressive sensing on a multicore system

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