The impact of noise power estimation on speech intelligibility in cochlear-implant speech coding strategies | Zendy

Thomas Bentsen | Zendy; Stefan J. Mauger | Zendy; Abigail A. Kressner | Zendy; Tobias May | Zendy; Torsten Dau | Zendy

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The impact of noise power estimation on speech intelligibility in cochlear-implant speech coding strategies

Author(s) -

Thomas Bentsen,

Stefan J. Mauger,

Abigail A. Kressner,

Tobias May,

Torsten Dau

Publication year - 2019

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.5089887

Subject(s) - intelligibility (philosophy) , speech recognition , cochlear implant , computer science , speech enhancement , speech processing , noise measurement , acoustics , noise reduction , background noise , audiology , telecommunications , artificial intelligence , medicine , physics , philosophy , epistemology

The advanced combination encoder (ACE™) is an established speech-coding strategy in cochlear-implant processing that selects a number of frequency channels based on amplitudes. However, speech intelligibility outcomes with this strategy are limited in noisy conditions. To improve speech intelligibility, either noise-dominant channels can be attenuated prior to ACE™ with noise reduction or, alternatively, channels can be selected based on estimated signal-to-noise ratios. A noise power estimation stage is, therefore, required. This study investigated the impact of noise power estimation in noise-reduction and channel-selection strategies. Results imply that estimation with improved noise-tracking capabilities does not necessarily translate into increased speech intelligibility.

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