Development of low bit rate speech encoder based on vector quantization and compressive sensing
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. Recently, Compressive Sensing (CS...
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Asian Network for Scientific Information
2012
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| Online Access: | http://irep.iium.edu.my/27577/ http://irep.iium.edu.my/27577/1/46461published.pdf |
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iium-275772012-12-28T07:21:07Z http://irep.iium.edu.my/27577/ Development of low bit rate speech encoder based on vector quantization and compressive sensing Kassim, Liban A. S. Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Sulong, Amart Abdullah, Khaizuran Hasbullah, Nurul Fadzlin TK7885 Computer engineering 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. Recently, 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 goes against the common data acquisition methods. In this research, a new system of speech encoding system is developed using compressive sensing. Since CS performs well in sparse signals, different sparsifying transforms are 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 confirmed by listening tests. Furthermore, the coder is also compared with Code Excited Linear Prediction (CELP) coder. Asian Network for Scientific Information 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/27577/1/46461published.pdf Kassim, Liban A. S. and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira and Sulong, Amart and Abdullah, Khaizuran and Hasbullah, Nurul Fadzlin (2012) Development of low bit rate speech encoder based on vector quantization and compressive sensing. Journal of Applied Sciences. pp. 1-11. ISSN 1812-5662 (O), 1812-5654 (P) (In Press) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
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IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK7885 Computer engineering |
| spellingShingle |
TK7885 Computer engineering Kassim, Liban A. S. Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Sulong, Amart Abdullah, Khaizuran Hasbullah, Nurul Fadzlin Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| 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. Recently, 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 goes against the common data acquisition methods. In this research, a new system of speech encoding system is developed using compressive sensing. Since CS performs well in sparse signals, different sparsifying transforms are 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 confirmed by listening tests. Furthermore, the coder is also compared with Code Excited Linear Prediction (CELP) coder. |
| format |
Article |
| author |
Kassim, Liban A. S. Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Sulong, Amart Abdullah, Khaizuran Hasbullah, Nurul Fadzlin |
| author_facet |
Kassim, Liban A. S. Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Sulong, Amart Abdullah, Khaizuran Hasbullah, Nurul Fadzlin |
| author_sort |
Kassim, Liban A. S. |
| title |
Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| title_short |
Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| title_full |
Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| title_fullStr |
Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| title_full_unstemmed |
Development of low bit rate speech encoder based on vector quantization and compressive sensing |
| title_sort |
development of low bit rate speech encoder based on vector quantization and compressive sensing |
| publisher |
Asian Network for Scientific Information |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/27577/ http://irep.iium.edu.my/27577/1/46461published.pdf |
| first_indexed |
2023-09-18T20:40:56Z |
| last_indexed |
2023-09-18T20:40:56Z |
| _version_ |
1777409360450813952 |