Parallelization of speech compression based algorithm based on human auditory system on multicore system

Human auditory system has been successfully employed in speech compression to reduce bit rate requirement. Previous researches on speech compression stated that the use of simultaneous masking and/or temporal masking reduced the bit rate requirement while maintained perceptual quality. However, the...

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Main Authors:	Gunawan, Teddy Surya, Kartiwi, Mira, Khalifa, Othman Omran
Format:	Article
Language:	English
Published:	Asian Network for Scientific Information 2012
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/1/Parallelization_of_Speech_Compression.pdf

id	iium-21774
recordtype	eprints
spelling	iium-217742015-09-09T02:52:11Z http://irep.iium.edu.my/21774/ Parallelization of speech compression based algorithm based on human auditory system on multicore system Gunawan, Teddy Surya Kartiwi, Mira Khalifa, Othman Omran TK5101 Telecommunication. Including telegraphy, radio, radar, television Human auditory system has been successfully employed in speech compression to reduce bit rate requirement. Previous researches on speech compression stated that the use of simultaneous masking and/or temporal masking reduced the bit rate requirement while maintained perceptual quality. However, the benefit of using auditory masking in speech coding was outweighed by the amount of computation required to calculate masking threshold. Nevertheless, the current advances in microprocessor technology shows that to overcome heat generation and power cap, a multicore processor integrates two or more independent cores into a single package become popular. The objective of this research is to develop and implement a novel parallel speech compression algorithm based on human auditory system on a multicore system. To achieve a scalable parallel speech coding algorithm, single program multiple data (SPMD) programming model was used, in which a single program was written for all cores. Matlab parallel computing toolbox was used in the implementation. Finally, the performance of the developed parallel algorithm was evaluated using Perceptual Evaluation of Speech Quality (PESQ) and parallel execution time. Results show that the average PESQ score and pulse reduction for all 30 files when both auditory masking models were used is around 4.00 (transparent quality) and 41.12%, respectively. Moreover, the maximum speed achievable on our parallel experiment was around 2.45 if four cores were fully utilized. Asian Network for Scientific Information 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/21774/1/Parallelization_of_Speech_Compression.pdf Gunawan, Teddy Surya and Kartiwi, Mira and Khalifa, Othman Omran (2012) Parallelization of speech compression based algorithm based on human auditory system on multicore system. Journal of Applied Sciences, 12 (4). pp. 375-380. ISSN 1812-5662 (O), 1812-5654 (P) http://scialert.net/abstract/?doi=jas.2012.375.380 10.3923/jas.2012.375.380
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Gunawan, Teddy Surya Kartiwi, Mira Khalifa, Othman Omran Parallelization of speech compression based algorithm based on human auditory system on multicore system
description	Human auditory system has been successfully employed in speech compression to reduce bit rate requirement. Previous researches on speech compression stated that the use of simultaneous masking and/or temporal masking reduced the bit rate requirement while maintained perceptual quality. However, the benefit of using auditory masking in speech coding was outweighed by the amount of computation required to calculate masking threshold. Nevertheless, the current advances in microprocessor technology shows that to overcome heat generation and power cap, a multicore processor integrates two or more independent cores into a single package become popular. The objective of this research is to develop and implement a novel parallel speech compression algorithm based on human auditory system on a multicore system. To achieve a scalable parallel speech coding algorithm, single program multiple data (SPMD) programming model was used, in which a single program was written for all cores. Matlab parallel computing toolbox was used in the implementation. Finally, the performance of the developed parallel algorithm was evaluated using Perceptual Evaluation of Speech Quality (PESQ) and parallel execution time. Results show that the average PESQ score and pulse reduction for all 30 files when both auditory masking models were used is around 4.00 (transparent quality) and 41.12%, respectively. Moreover, the maximum speed achievable on our parallel experiment was around 2.45 if four cores were fully utilized.
format	Article
author	Gunawan, Teddy Surya Kartiwi, Mira Khalifa, Othman Omran
author_facet	Gunawan, Teddy Surya Kartiwi, Mira Khalifa, Othman Omran
author_sort	Gunawan, Teddy Surya
title	Parallelization of speech compression based algorithm based on human auditory system on multicore system
title_short	Parallelization of speech compression based algorithm based on human auditory system on multicore system
title_full	Parallelization of speech compression based algorithm based on human auditory system on multicore system
title_fullStr	Parallelization of speech compression based algorithm based on human auditory system on multicore system
title_full_unstemmed	Parallelization of speech compression based algorithm based on human auditory system on multicore system
title_sort	parallelization of speech compression based algorithm based on human auditory system on multicore system
publisher	Asian Network for Scientific Information
publishDate	2012
url	http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/ http://irep.iium.edu.my/21774/1/Parallelization_of_Speech_Compression.pdf
first_indexed	2023-09-18T20:33:13Z
last_indexed	2023-09-18T20:33:13Z
_version_	1777408874512384000

Parallelization of speech compression based algorithm based on human auditory system on multicore system

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