Title: | MODULATION WIENER FILTER FOR IMPROVING SPEECH INTELLIGIBILITY |
Authors: | Hsu, Chung-Chien Cheong, Kah-Meng Chien, Jen-Tzung Chi, Tai-Shih 電機資訊學士班 Undergraduate Honors Program of Electrical Engineering and Computer Science |
Keywords: | spectro-temporal modulation;Wiener filter;speech enhancement;speech intelligibility |
Issue Date: | 1-Jan-2015 |
Abstract: | This paper presents a single-channel high-dimensional Wiener filter in the spectro-temporal modulation domain. Unlike other conventional noise reduction techniques, the proposed algorithm not only reduces noise but also enhances the "textures" of the speech signal. A non-iterative decision-directed noise estimation method is adopted to estimate the modulation SNR for the modulation-domain Wiener filter. The efficacy of the proposed algorithm in enhancing speech intelligibility is assessed using the short-time objective intelligibility (STOI) measure. Statistical analysis results demonstrate that our proposed algorithm can improve STOI scores in speech-shape noise (SSN) and white noise conditions, but not in babble noise condition, while the conventional Wiener filter fails to improve STOI scores in all three noise conditions. |
URI: | http://hdl.handle.net/11536/129832 |
ISBN: | 978-1-4673-6997-8 |
ISSN: | 1520-6149 |
Journal: | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) |
Begin Page: | 370 |
End Page: | 374 |
Appears in Collections: | Conferences Paper |