A Robust Room Inverse Filtering Algorithm for Speech Dereverberation Based on a Kurtosis Maximization
In this paper, we propose a robust room inverse filtering algorithm for speech dereverberation based on a kurtosis maximization. The proposed algorithm utilizes a new normalized kurtosis function that nonlinearly maps the input kurtosis onto a finite range from zero to one, which results in a kurtos...
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| Veröffentlicht in: | IEICE Transactions on Information and Systems 2010/05/01, Vol.E93.D(5), pp.1309-1312 |
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| container_title | IEICE Transactions on Information and Systems |
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| creator | JEONG, Jae-woong PARK, Young-cheol YOUN, Dae-hee LEE, Seok-Pil |
| description | In this paper, we propose a robust room inverse filtering algorithm for speech dereverberation based on a kurtosis maximization. The proposed algorithm utilizes a new normalized kurtosis function that nonlinearly maps the input kurtosis onto a finite range from zero to one, which results in a kurtosis warping. Due to the kurtosis warping, the proposed algorithm provides more stable convergence and, in turn, better performance than the conventional algorithm. Experimental results are presented to confirm the robustness of the proposed algorithm. |
| doi_str_mv | 10.1587/transinf.E93.D.1309 |
| format | Article |
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| issn | 0916-8532 1745-1361 1745-1361 |
| language | eng |
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| source | J-STAGE (Japan Science & Technology Information Aggregator, Electronic) Freely Available Titles - Japanese; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Algorithms Filtering Filtration Inverse Kurtosis kurtosis maximization Maximization normalized kurtosis room inverse filtering Speech voiced/unvoiced (V/UV) classification Warpage |
| title | A Robust Room Inverse Filtering Algorithm for Speech Dereverberation Based on a Kurtosis Maximization |
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