Article details

Research area
Speech enhancement

Proceedings International Workshop on Acoustic Echo and Noise Control (IWAENC) 2012, Aachen, Germany, 2012.


Christian Hofmann, Tobias Wolff, Markus Buck, Tim Haulick, Walter Kellermann

A morphological approach to single-channel wind-noise suppression


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.

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