A morphological approach to single-channel wind-noise suppression

Conference contribution
(Conference Contribution)

Publication Details

Author(s): Hofmann C, Wolff T, Buck M, Haulick T, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2012
Pages range: 209-212
ISBN: 978-3-8007-3451-1
Language: English


Today, a variety of technical devices deploy spoken language processing technology. In many practical use cases, not only stationary ambient noises but non-stationary interferences, such as wind noise, degrade their performance. If only one microphone is available, regular noise reduction schemes are capable of suppressing stationary interferences. Wind noises, however, are highly non-stationary and may be annoying in a hands-free application, for instance. To suppress such interferences in a speech signal, we propose to consider the signal spectrogram as an image and to exploit neighborhood relations in the time-frequency plane, hence morphological features. To this end, wind-noise-typical energy patterns are extracted by morphological operations employing both the signal spectrogram and its temporal derivative. The resulting estimate of the interference power spectral density is then used for speech enhancement in a subband-processing framework. Distance measures and informal listening tests indicate the effectiveness of the proposed method compared to classical noise-reduction schemes in the presence of non-stationary interferences of wind noise.

FAU Authors / FAU Editors

Hofmann, Christian
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik

External institutions
Nuance Communications Aachen GmbH

How to cite

Hofmann, C., Wolff, T., Buck, M., Haulick, T., & Kellermann, W. (2012). A morphological approach to single-channel wind-noise suppression. (pp. 209-212). Aachen, DE: Institute of Electrical and Electronics Engineers Inc..

Hofmann, Christian, et al. "A morphological approach to single-channel wind-noise suppression." Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC), Aachen Institute of Electrical and Electronics Engineers Inc., 2012. 209-212.


Last updated on 2018-17-10 at 08:23