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Citation

Hussain A (1999) Multi-sensor neural-network processing of noisy speech. International Journal of Neural Systems, 9 (5), pp. 467-471. https://doi.org/10.1142/S0129065799000496

Abstract
In this paper, a novel Artificial Neural-Network (ANN) based multi-sensor multi-band adaptive signal-processing scheme is described for enhancing acoustic-speech corrupted by real noise and reverberation. Numerically robust adaptation-algorithms are employed for the ANN based sub-band filters; and, new simulation experiments are reported using real-reverberant automobile data which demonstrate that the proposed speech-enhancement system is capable of outperforming conventional linear filtering-based wide-band and multi-band noise-cancellation schemes.

Journal
International Journal of Neural Systems: Volume 9, Issue 5