Evaluation of sparsifying algorithms for speech signals
Sparse representations of signals have been used in many areas of signal and image processing. It has also played an important role in compressive sensing algorithms since it performs well in sparse signals. A sparse representation is one in which small number of coefficients contain large proportio...
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE Explore
2012
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28998/ http://irep.iium.edu.my/28998/1/EVALUATION_OF_SPARSIFYING_ALGORITHMS_FOR_SPEECH_SIGNALS.pdf |
| _version_ | 1848780047644622848 |
|---|---|
| author | Kassim, Liban A. Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_facet | Kassim, Liban A. Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_sort | Kassim, Liban A. |
| building | IIUM Repository |
| collection | Online Access |
| description | Sparse representations of signals have been used in many areas of signal and image processing. It has also played an important role in compressive sensing algorithms since it performs well in sparse signals. A sparse representation is one in which small number of coefficients contain large proportion of the energy. Sparsity is important also in speech compression and coding, where the signal can be compressed in pre-processing stages. It leads to efficient and robust methods for compression, detection denoising and signal separation. The objective of this paper is to evaluate several transforms which is used to sparsify the speech signals. Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) will be compared and evaluated based on Gini Index. Sparsity properties and measures will be reviewed in this paper. Finally, sparse applications in speech compression and compressive sensing will be discussed. |
| first_indexed | 2025-11-14T15:27:28Z |
| format | Proceeding Paper |
| id | iium-28998 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:27:28Z |
| publishDate | 2012 |
| publisher | IEEE Explore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-289982013-02-14T00:36:57Z http://irep.iium.edu.my/28998/ Evaluation of sparsifying algorithms for speech signals Kassim, Liban A. Khalifa, Othman Omran Gunawan, Teddy Surya TA Engineering (General). Civil engineering (General) Sparse representations of signals have been used in many areas of signal and image processing. It has also played an important role in compressive sensing algorithms since it performs well in sparse signals. A sparse representation is one in which small number of coefficients contain large proportion of the energy. Sparsity is important also in speech compression and coding, where the signal can be compressed in pre-processing stages. It leads to efficient and robust methods for compression, detection denoising and signal separation. The objective of this paper is to evaluate several transforms which is used to sparsify the speech signals. Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) will be compared and evaluated based on Gini Index. Sparsity properties and measures will be reviewed in this paper. Finally, sparse applications in speech compression and compressive sensing will be discussed. IEEE Explore 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/28998/1/EVALUATION_OF_SPARSIFYING_ALGORITHMS_FOR_SPEECH_SIGNALS.pdf Kassim, Liban A. and Khalifa, Othman Omran and Gunawan, Teddy Surya (2012) Evaluation of sparsifying algorithms for speech signals. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6271202&tag=1 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Kassim, Liban A. Khalifa, Othman Omran Gunawan, Teddy Surya Evaluation of sparsifying algorithms for speech signals |
| title | Evaluation of sparsifying algorithms for speech signals |
| title_full | Evaluation of sparsifying algorithms for speech signals |
| title_fullStr | Evaluation of sparsifying algorithms for speech signals |
| title_full_unstemmed | Evaluation of sparsifying algorithms for speech signals |
| title_short | Evaluation of sparsifying algorithms for speech signals |
| title_sort | evaluation of sparsifying algorithms for speech signals |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://irep.iium.edu.my/28998/ http://irep.iium.edu.my/28998/ http://irep.iium.edu.my/28998/1/EVALUATION_OF_SPARSIFYING_ALGORITHMS_FOR_SPEECH_SIGNALS.pdf |