| Literature DB >> 26721921 |
Regina M Baumgärtel1, Hongmei Hu2, Martin Krawczyk-Becker3, Daniel Marquardt4, Tobias Herzke5, Graham Coleman5, Kamil Adiloğlu5, Katrin Bomke6, Karsten Plotz6, Timo Gerkmann3, Simon Doclo4, Birger Kollmeier2, Volker Hohmann7, Mathias Dietz2.
Abstract
Several binaural audio signal enhancement algorithms were evaluated with respect to their potential to improve speech intelligibility in noise for users of bilateral cochlear implants (CIs). 50% speech reception thresholds (SRT50) were assessed using an adaptive procedure in three distinct, realistic noise scenarios. All scenarios were highly nonstationary, complex, and included a significant amount of reverberation. Other aspects, such as the perfectly frontal target position, were idealized laboratory settings, allowing the algorithms to perform better than in corresponding real-world conditions. Eight bilaterally implanted CI users, wearing devices from three manufacturers, participated in the study. In all noise conditions, a substantial improvement in SRT50 compared to the unprocessed signal was observed for most of the algorithms tested, with the largest improvements generally provided by binaural minimum variance distortionless response (MVDR) beamforming algorithms. The largest overall improvement in speech intelligibility was achieved by an adaptive binaural MVDR in a spatially separated, single competing talker noise scenario. A no-pre-processing condition and adaptive differential microphones without a binaural link served as the two baseline conditions. SRT50 improvements provided by the binaural MVDR beamformers surpassed the performance of the adaptive differential microphones in most cases. Speech intelligibility improvements predicted by instrumental measures were shown to account for some but not all aspects of the perceptually obtained SRT50 improvements measured in bilaterally implanted CI users.Entities:
Keywords: bilateral; cochlear implant; noise reduction algorithm; speech intelligibility; speech reception threshold
Mesh:
Year: 2015 PMID: 26721921 PMCID: PMC4771034 DOI: 10.1177/2331216515617917
Source DB: PubMed Journal: Trends Hear ISSN: 2331-2165 Impact factor: 3.293