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• W2400012013 abstract "This paper presents a novel signal-dependent method to increase the robustness of acoustic multi-channel equalization techniques against room impulse response (RIR) estimation errors. Aiming at obtaining an output signal which better resembles a clean speech signal, we propose to extend the acoustic multi-channel equalization cost function with a penalty function which promotes sparsity of the output signal in the short-time Fourier transform domain. Two conventionally used sparsity-promoting penalty functions are investigated, i.e., the 10-norm and the li-norm, and the sparsity-promoting filters are iteratively computed using the alternating direction method of multipliers. Simulation results for several RIR estimation errors show that incorporating a sparsity-promoting penalty function significantly increases the robustness, with the 11-norm penalty function outperforming the 10-norm penalty function." @default.
• W2400012013 created "2016-06-24" @default.
• W2400012013 creator A5061058558 @default.
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• W2400012013 date "2016-03-01" @default.
• W2400012013 modified "2023-09-26" @default.
• W2400012013 title "Robust sparsity-promoting acoustic multi-channel equalization for speech dereverberation" @default.
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• W2400012013 doi "https://doi.org/10.1109/icassp.2016.7471658" @default.
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