Hofmann C, Wolff T, Buck M, Haulick T, Kellermann W (2012)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2012
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 209-212
Article Number: 6309438
ISBN: 978-3-8007-3451-1
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84957677844∨igin=inward
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.
APA:
Hofmann, C., Wolff, T., Buck, M., Haulick, T., & Kellermann, W. (2012). A morphological approach to single-channel wind-noise suppression. In Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC) (pp. 209-212). Aachen, DE: Institute of Electrical and Electronics Engineers Inc..
MLA:
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.
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