Wavelet Transform Extrema Clustering for Multi-channel Speech Dereverberation
نویسندگان
چکیده
This paper presents a method for enhancing multi-channel reverberant speech using event-based processing of wavelet transform coefficients. Clustering of the wavelet extrema across multiple channels is employed to obtain a single multi-scale extrema representation from which the enhanced signal is synthesized. Processing is done in the LPC residual domain, with the entire analysis being preceded by a multi-channel LPC inverse filter and followed by the corresponding forward LPC filter. The algorithm is compared to traditional delay-and-sum beamforming with results presented for reverberant, noisy conditions.
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