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