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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2011
|
| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/2313/1/Gunawan_SpeechCodingCompressiveSensingv2.pdf http://irep.iium.edu.my/2313/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| id |
my.iium.irep.2313 |
|---|---|
| record_format |
dspace |
| spelling |
my.iium.irep.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 REM 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. |
| institution |
Universiti Islam Antarabangsa Malaysia |
| building |
IIUM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
International Islamic University Malaysia |
| content_source |
IIUM Repository (IREP) |
| url_provider |
http://irep.iium.edu.my/ |
| 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/2313/1/Gunawan_SpeechCodingCompressiveSensingv2.pdf http://irep.iium.edu.my/2313/ |
| _version_ |
1643604944544071680 |
| score |
13.250246 |