Compressive sensing based low bit rate speech encoder
Speech coding is a representation of a digitized speech signal using as few bits as possible, while maintaining reasonable level of speech quality. Due to growing need for bandwidth conservation in wireless communication, the research in speech coding has increased. Compressive Sensing (CS) is gaini...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28886/ http://irep.iium.edu.my/28886/1/Comprehensive_sensing.pdf |
| _version_ | 1848780028113846272 |
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| author | Kassim, L.A. Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_facet | Kassim, L.A. Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_sort | Kassim, L.A. |
| building | IIUM Repository |
| collection | Online Access |
| description | Speech coding is a representation of a digitized speech signal using as few bits as possible, while maintaining reasonable level of speech quality. Due to growing need for bandwidth conservation in wireless communication, the research in speech coding has increased. Compressive Sensing (CS) is gaining a great interest because of its ability to recover original signals by taking only few measurements. CS is a new approach that is different from the common data acquisition methods. In this research, a new approach of speech encoding system is developed using compressive sensing. Since CS performs well in sparse signals, different sparsifying transforms is analyzed and compared using Gini coefficient. The quality of the speech coder is evaluated using Perceptual Evaluation of Speech Quality (PESQ), Signal-to-Noise Ratio (SNR) and subjective listening tests. Results show that the speech coders have achieved a PESQ score of 3.16 at 4 kbps which is a good quality as listening tests confirms. The coder is also compared with Code Excited Linear Prediction (CELP) coder. |
| first_indexed | 2025-11-14T15:27:09Z |
| format | Proceeding Paper |
| id | iium-28886 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:27:09Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-288862013-03-14T02:51:26Z http://irep.iium.edu.my/28886/ Compressive sensing based low bit rate speech encoder Kassim, L.A. Khalifa, Othman Omran Gunawan, Teddy Surya TA Engineering (General). Civil engineering (General) Speech coding is a representation of a digitized speech signal using as few bits as possible, while maintaining reasonable level of speech quality. Due to growing need for bandwidth conservation in wireless communication, the research in speech coding has increased. Compressive Sensing (CS) is gaining a great interest because of its ability to recover original signals by taking only few measurements. CS is a new approach that is different from the common data acquisition methods. In this research, a new approach of speech encoding system is developed using compressive sensing. Since CS performs well in sparse signals, different sparsifying transforms is analyzed and compared using Gini coefficient. The quality of the speech coder is evaluated using Perceptual Evaluation of Speech Quality (PESQ), Signal-to-Noise Ratio (SNR) and subjective listening tests. Results show that the speech coders have achieved a PESQ score of 3.16 at 4 kbps which is a good quality as listening tests confirms. The coder is also compared with Code Excited Linear Prediction (CELP) coder. 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/28886/1/Comprehensive_sensing.pdf Kassim, L.A. and Khalifa, Othman Omran and Gunawan, Teddy Surya (2012) Compressive sensing based low bit rate speech encoder. In: International Conference on Computer and Communication Engineering, ICCCE 2012, 3-5 July 2012, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6271201&contentType=Conference+Publications |
| spellingShingle | TA Engineering (General). Civil engineering (General) Kassim, L.A. Khalifa, Othman Omran Gunawan, Teddy Surya Compressive sensing based low bit rate speech encoder |
| title | Compressive sensing based low bit rate speech encoder |
| title_full | Compressive sensing based low bit rate speech encoder |
| title_fullStr | Compressive sensing based low bit rate speech encoder |
| title_full_unstemmed | Compressive sensing based low bit rate speech encoder |
| title_short | Compressive sensing based low bit rate speech encoder |
| title_sort | compressive sensing based low bit rate speech encoder |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://irep.iium.edu.my/28886/ http://irep.iium.edu.my/28886/ http://irep.iium.edu.my/28886/1/Comprehensive_sensing.pdf |