Literature DB >> 11303927

Performance of an adaptive beamforming noise reduction scheme for hearing aid applications. II. Experimental verification of the predictions.

M Kompis1, N Dillier.   

Abstract

A method to predict the amount of noise reduction which can be achieved using a two-microphone adaptive beamforming noise reduction system for hearing aids [J. Acoust. Soc. Am. 109, 1123 (2001)] is verified experimentally. 34 experiments are performed in real environments and 58 in simulated environments and the results are compared to the predictions. In all experiments, one noise source and one target signal source are present. Starting from a setting in a moderately reverberant room (reverberation time 0.42 s, volume 34 m3, distance between listener and either sound source 1 m, length of the adaptive filter 25 ms), eight different parameters of the acoustical environment and three different design parameters of the adaptive beamformer were systematically varied. For those experiments, in which the direct-to-reverberant ratios of the noise signal is +3 dB or less, the difference between the predicted and the measured improvement in signal-to-noise ratio (SNR) is -0.21+/-0.59 dB for real environments and -0.25+/-0.51 dB for simulated environments (average +/- standard deviation). At higher direct-to-reverberant ratios, SNR improvement is systematically underestimated by up to 5.34 dB. The parameters with the greatest influence on the performance of the adaptive beamformer have been found to be the direct-to-reverberant ratio of the noise source, the reverberation time of the acoustic environment, and the length of the adaptive filter.

Mesh:

Year:  2001        PMID: 11303927     DOI: 10.1121/1.1338558

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  5 in total

1.  Multi-microphone adaptive noise reduction strategies for coordinated stimulation in bilateral cochlear implant devices.

Authors:  Kostas Kokkinakis; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2010-05       Impact factor: 1.840

2.  Benefit of the UltraZoom beamforming technology in noise in cochlear implant users.

Authors:  Isabelle Mosnier; Nathalie Mathias; Jonathan Flament; Dorith Amar; Amelie Liagre-Callies; Stephanie Borel; Emmanuèle Ambert-Dahan; Olivier Sterkers; Daniele Bernardeschi
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-06-29       Impact factor: 2.503

3.  Impact of a moving noise masker on speech perception in cochlear implant users.

Authors:  Tobias Weissgerber; Tobias Rader; Uwe Baumann
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

4.  Advanced beamformers for cochlear implant users: acute measurement of speech perception in challenging listening conditions.

Authors:  Andreas Buechner; Karl-Heinz Dyballa; Phillipp Hehrmann; Stefan Fredelake; Thomas Lenarz
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

5.  Monaural Beamforming in Bimodal Cochlear Implant Users: Effect of (A)symmetric Directivity and Noise Type.

Authors:  Elke M J Devocht; A Miranda L Janssen; Josef Chalupper; Robert J Stokroos; Erwin L J George
Journal:  PLoS One       Date:  2016-08-18       Impact factor: 3.240

  5 in total

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