2D Spectrogram Filter for Single Channel Speech Enhancement
نویسنده
چکیده
In this paper, we propose a novel approach for single channel speech enhancement by exploiting the correlation among 2D transform coefficients, which has been previously neglected by traditional speech enhancement methods. Our approach makes use of a time-frequency representation (spectrogram) of the input signal and a novel 2D spectrogram filter (2DSF)is designed to provide a good estimate of the original clean speech. The 2DSF, which is easy to implement, comprises a hybrid Wiener filter, statistical classification and a postprocessor. The efficiency of our proposed approach is proven via both objective and subjective evaluations. Key–Words: Speech enhancement, Wiener filter, noise reduction, spectrogram filtering
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