Blind speech enhancement and acoustic noise reduction by SFTF adaptive algorithm
In this paper, we address the problem of noise reduction and speech enhancement by adaptive filtering algorithms using the forward blind source separation structure (FBSS), which is often combined with adaptive algorithms to efficiently cancel the acoustic noise at the output. In this paper, we prop...
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| Veröffentlicht in: | 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B) S. 1 - 4 |
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01.10.2017
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| Abstract | In this paper, we address the problem of noise reduction and speech enhancement by adaptive filtering algorithms using the forward blind source separation structure (FBSS), which is often combined with adaptive algorithms to efficiently cancel the acoustic noise at the output. In this paper, we propose to combine the FBSS with the Simplified Fast Transversal Filter (SFTF) algorithm, where the adaptation gain is obtained only from the forward prediction. The performances of the proposed SFTF algorithm are compared with the Normalized Least Mean Square (NLMS) algorithm in different noisy conditions. This comparison is evaluated in terms of Cepstral Distance (CD), the System Mismatch (SM) and the Segmental Signal to Noise Ratio (SegSNR) criteria. |
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| AbstractList | In this paper, we address the problem of noise reduction and speech enhancement by adaptive filtering algorithms using the forward blind source separation structure (FBSS), which is often combined with adaptive algorithms to efficiently cancel the acoustic noise at the output. In this paper, we propose to combine the FBSS with the Simplified Fast Transversal Filter (SFTF) algorithm, where the adaptation gain is obtained only from the forward prediction. The performances of the proposed SFTF algorithm are compared with the Normalized Least Mean Square (NLMS) algorithm in different noisy conditions. This comparison is evaluated in terms of Cepstral Distance (CD), the System Mismatch (SM) and the Segmental Signal to Noise Ratio (SegSNR) criteria. |
| Author | Djebari, Mustapha Rahima, Henni Mohamed, Djendi |
| Author_xml | – sequence: 1 givenname: Henni surname: Rahima fullname: Rahima, Henni organization: Detection, Information and Communication (DIC) laboratory. University of Blida 1, Route de Soumaa, B.P. 270, Blida 09000, Algeria – sequence: 2 givenname: Mustapha surname: Djebari fullname: Djebari, Mustapha organization: Detection, Information and Communication (DIC) laboratory. University of Blida 1, Route de Soumaa, B.P. 270, Blida 09000, Algeria – sequence: 3 givenname: Djendi surname: Mohamed fullname: Mohamed, Djendi organization: Laboratory of signal Processing and Imaging (LATSI). University of Blida 1, Route de Soumaa, B.P. 270, Blida 09000, Algeria |
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| SubjectTerms | Adaptive filters Algorithm design and analysis Cepstral analysis FBSS structure NLMS algorithm SFTF algorithm Signal processing algorithms Signal to noise ratio Speech Speech enhancement |
| Title | Blind speech enhancement and acoustic noise reduction by SFTF adaptive algorithm |
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