Article details

Research area
Speech enhancement

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

Date
2012

Author(s)
Christian Hofmann, Tobias Wolff, Markus Buck, Tim Haulick, Walter Kellermann

A morphological approach to single-channel wind-noise suppression

Synopsis:

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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