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Wideband Noise Suppression Supported by Artificial Bandwidth Extension Techniques

Authors:
Thomas Esch, Florian Heese, Bernd Geiser, and Peter Vary
Book Title:
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Venue:
Dallas, TX, USA
Organization:
IEEE
Date:
Mar. 2010
Pages:
4790–4793
Language:
English

Abstract

This contribution presents a wideband (50 Hz – 7 kHz) speech enhancement system that is operating in the frequency domain. As a novel feature, techniques known from artificial bandwidth extension (BWE) are used to improve the spectral estimation process by exploiting the statistical dependencies between the low band (50 Hz – 4 kHz) and the high band (4 – 7 kHz). Conventional noise suppression is used in the low band, while a novel approach is applied to the high band. Features from the processed (enhanced) low band signal are extracted and used to estimate subband energies of the high band. The weighting gains determined from these energy estimates are adaptively combined with conventional gains obtained in addition for the high band. The performance of the proposed method is shown to be consistently better than the conventional approach, especially at low input SNR values.

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