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This contribution addresses the problem of enhancing a speech signal which is degraded by wind noise. The characteristic that wind noise signals are sparse in time and frequency is exploited in a way that only time-frequency regions that are determined as degraded are enhanced. In these regions of the noisy signal, a process is applied to reconstruct the clean speech data. This is realized by a separation...
This paper presents a method to enhance a speech signal disturbed by wind noise. The wind noise is generated by turbulences in an air stream close to the microphone which picks up the desired speech signal. As the majority of speech enhancement algorithms works in the frequency domain, the short term power spectrum (STPS) of the unwanted noise must be estimated to reduce the wind noise. Conventional...
This contribution presents an efficient technique for the enhancement of speech signals disturbed by wind noise. In almost all noise reduction systems an estimate of the current noise power spectral density (PSD) is required. As common methods for background noise estimation fail due to the non-stationary characteristics of wind noise signals, special algorithms are required. The proposed estimation...
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