Objective evaluation of speech enhancement using compressive sensing algorithm

Most of the accurate method for the speech enhancement design mainly focuses on quality and intelligibility to produce high performance level by using compression techniques. A novel speech enhancement algorithm using compressive sensing (CS) is different paradigm from compression technique with low...

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Main Authors: Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel
Format: Proceeding Paper
Language:English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/34948/1/Amart_v4_Objective_evaluation_speech_enhancement.pdf
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author Sulong, Amart
Gunawan, Teddy Surya
Khalifa, Othman Omran
Chebil, Jalel
author_facet Sulong, Amart
Gunawan, Teddy Surya
Khalifa, Othman Omran
Chebil, Jalel
author_sort Sulong, Amart
collection IIUM
description Most of the accurate method for the speech enhancement design mainly focuses on quality and intelligibility to produce high performance level by using compression techniques. A novel speech enhancement algorithm using compressive sensing (CS) is different paradigm from compression technique with low-dimensional geometry for transmission or storage. The CS algorithm, can directly acquire compressed data signals and replace samples by more general measurements of the uniform rate digitization with signal sparsity model. Perceptual evaluation of speech quality (PESQ) is an objective evaluation of speech enhancement algorithm used to measure the enhanced speech quality. All provable good measurement, with random matrics in CS algorithm, can enhance speech signal. Objective evaluation on various dB SNR shows that the proposed algorithm exhibits better noise reduction ability over conventional approaches without obvious degradation of the speech signal quality.
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spelling oai:generic.eprints.org:349482016-05-12T00:22:44Z http://irep.iium.edu.my/34948/ Objective evaluation of speech enhancement using compressive sensing algorithm Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel TK Electrical engineering. Electronics Nuclear engineering Most of the accurate method for the speech enhancement design mainly focuses on quality and intelligibility to produce high performance level by using compression techniques. A novel speech enhancement algorithm using compressive sensing (CS) is different paradigm from compression technique with low-dimensional geometry for transmission or storage. The CS algorithm, can directly acquire compressed data signals and replace samples by more general measurements of the uniform rate digitization with signal sparsity model. Perceptual evaluation of speech quality (PESQ) is an objective evaluation of speech enhancement algorithm used to measure the enhanced speech quality. All provable good measurement, with random matrics in CS algorithm, can enhance speech signal. Objective evaluation on various dB SNR shows that the proposed algorithm exhibits better noise reduction ability over conventional approaches without obvious degradation of the speech signal quality. 2013-11-27 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/34948/1/Amart_v4_Objective_evaluation_speech_enhancement.pdf Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil, Jalel (2013) Objective evaluation of speech enhancement using compressive sensing algorithm. In: 2013 IEEE International Conference on Smart Instrumentation, Measurement, and Applications, 25-27 November 2013, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6717936
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sulong, Amart
Gunawan, Teddy Surya
Khalifa, Othman Omran
Chebil, Jalel
Objective evaluation of speech enhancement using compressive sensing algorithm
title Objective evaluation of speech enhancement using compressive sensing algorithm
title_full Objective evaluation of speech enhancement using compressive sensing algorithm
title_fullStr Objective evaluation of speech enhancement using compressive sensing algorithm
title_full_unstemmed Objective evaluation of speech enhancement using compressive sensing algorithm
title_short Objective evaluation of speech enhancement using compressive sensing algorithm
title_sort objective evaluation of speech enhancement using compressive sensing algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/34948/1/Amart_v4_Objective_evaluation_speech_enhancement.pdf
work_keys_str_mv AT sulongamart objectiveevaluationofspeechenhancementusingcompressivesensingalgorithm
AT gunawanteddysurya objectiveevaluationofspeechenhancementusingcompressivesensingalgorithm
AT khalifaothmanomran objectiveevaluationofspeechenhancementusingcompressivesensingalgorithm
AT chebiljalel objectiveevaluationofspeechenhancementusingcompressivesensingalgorithm