A novel method for wavelet quantization of noisy speech
This paper proposes an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multiresolution signal components using the wavelet transform. An iterative Wiener filtering is used at each level of wavelet analysis to enhance speech. The system model that evolv...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/142735 |
| _version_ | 1826125016301830144 |
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| author | Madhukumar, A. S. Premkumar, Annamalai Benjamin Abut, H. |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Madhukumar, A. S. Premkumar, Annamalai Benjamin Abut, H. |
| author_sort | Madhukumar, A. S. |
| collection | NTU |
| description | This paper proposes an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multiresolution signal components using the wavelet transform. An iterative Wiener filtering is used at each level of wavelet analysis to enhance speech. The system model that evolves during enhancement is processed further to get optimal parameters for the quantization. A multistage vector quantizer is used for compression of the decomposed speech. The enhanced speech is reconstructed at the receiving end by a VQ decoder and the necessary wavelet reconstruction network. The speech coding rate for the proposed architecture is estimated to be about 2.37 kbps. |
| first_indexed | 2024-10-01T06:29:50Z |
| format | Conference Paper |
| id | ntu-10356/142735 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:29:50Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1427352020-06-29T08:04:07Z A novel method for wavelet quantization of noisy speech Madhukumar, A. S. Premkumar, Annamalai Benjamin Abut, H. School of Computer Science and Engineering 1999 IEEE Region 10 Conference (TENCON 1999) 'Multimedia Technology for Asia-Pacific Information Infrastructure' Engineering::Computer science and engineering Quantization Speech Coding This paper proposes an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multiresolution signal components using the wavelet transform. An iterative Wiener filtering is used at each level of wavelet analysis to enhance speech. The system model that evolves during enhancement is processed further to get optimal parameters for the quantization. A multistage vector quantizer is used for compression of the decomposed speech. The enhanced speech is reconstructed at the receiving end by a VQ decoder and the necessary wavelet reconstruction network. The speech coding rate for the proposed architecture is estimated to be about 2.37 kbps. 2020-06-29T08:04:07Z 2020-06-29T08:04:07Z 2002 Conference Paper Madhukumar, A. S., Premkumar, A. B., & Abut, H. (1999). A novel method for wavelet quantization of noisy speech. Proceedings of 1999 IEEE Region 10 Conference (TENCON 1999) 'Multimedia Technology for Asia-Pacific Information Infrastructure', 1, 142-145. doi:10.1109/TENCON.1999.818370 0-7803-5739-6 https://hdl.handle.net/10356/142735 10.1109/TENCON.1999.818370 2-s2.0-85044476748 1 142 145 en © 1999 IEEE. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Quantization Speech Coding Madhukumar, A. S. Premkumar, Annamalai Benjamin Abut, H. A novel method for wavelet quantization of noisy speech |
| title | A novel method for wavelet quantization of noisy speech |
| title_full | A novel method for wavelet quantization of noisy speech |
| title_fullStr | A novel method for wavelet quantization of noisy speech |
| title_full_unstemmed | A novel method for wavelet quantization of noisy speech |
| title_short | A novel method for wavelet quantization of noisy speech |
| title_sort | novel method for wavelet quantization of noisy speech |
| topic | Engineering::Computer science and engineering Quantization Speech Coding |
| url | https://hdl.handle.net/10356/142735 |
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