CMAC spectral subtraction for speech enhancement
One of the major problems in speech signal enhancement and cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2001
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf |
| _version_ | 1796878996800012288 |
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| author | Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin |
| author_facet | Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin |
| author_sort | Abdul Rahman, Abdul Wahab |
| collection | IIUM |
| description | One of the major problems in speech signal enhancement and
cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement is achieved by using a class of associative memory based on the cerebellar model arithmetic computer (CMAC) as a robust method to estimate the reference signal. CMAC can learn very fast and it can approximate a wide variety of non-linear functions. Thus the learning algorithm of CMAC can be integrated with the spectral subtraction method to produce a system that allows the noise estimate to be learned adaptively. The effectiveness of the architecture is demonstrated on a speech corrupted with very low signal to noise ratio (from -5db to -20db) on a vehicular environment. |
| first_indexed | 2024-03-05T23:29:19Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:38205 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:29:19Z |
| publishDate | 2001 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:382052020-12-16T15:44:18Z http://irep.iium.edu.my/38205/ CMAC spectral subtraction for speech enhancement Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin T Technology (General) One of the major problems in speech signal enhancement and cancellation of additive noise is the availability of a reference signal. A comprehensive and efficient technique for speech enhancement based an extension of the spectral subtraction method is developed. In our proposed model, enhancement is achieved by using a class of associative memory based on the cerebellar model arithmetic computer (CMAC) as a robust method to estimate the reference signal. CMAC can learn very fast and it can approximate a wide variety of non-linear functions. Thus the learning algorithm of CMAC can be integrated with the spectral subtraction method to produce a system that allows the noise estimate to be learned adaptively. The effectiveness of the architecture is demonstrated on a speech corrupted with very low signal to noise ratio (from -5db to -20db) on a vehicular environment. 2001-08-16 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf Abdul Rahman, Abdul Wahab and Eng, Chong Tan and Abut, Huseyin (2001) CMAC spectral subtraction for speech enhancement. In: 6th International Symposium on Signal Processing and Its Applications (ISSPA 2001), 13 Aug.-16 Aug. 2001, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=950246&tag=1 |
| spellingShingle | T Technology (General) Abdul Rahman, Abdul Wahab Eng, Chong Tan Abut, Huseyin CMAC spectral subtraction for speech enhancement |
| title | CMAC spectral subtraction for speech enhancement |
| title_full | CMAC spectral subtraction for speech enhancement |
| title_fullStr | CMAC spectral subtraction for speech enhancement |
| title_full_unstemmed | CMAC spectral subtraction for speech enhancement |
| title_short | CMAC spectral subtraction for speech enhancement |
| title_sort | cmac spectral subtraction for speech enhancement |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38205/1/CMAC_spectral_subtraction_for_speech_enhancement.pdf |
| work_keys_str_mv | AT abdulrahmanabdulwahab cmacspectralsubtractionforspeechenhancement AT engchongtan cmacspectralsubtractionforspeechenhancement AT abuthuseyin cmacspectralsubtractionforspeechenhancement |