A Novel Artificial-Intelligence-Based Reverberation-Reduction Algorithm for Cochlear Implants Enhances Speech Intelligibility and User Experience
This study revealed that the DNN-WPE and DNN-WPEPF dereverberation algorithms had benefits for CI users regarding speech intelligibility and subjective ratings. These algorithms did not affect the clean speech, showing that they can be switched on in quiet situations without background noise. Further developments are required to implement the algorithms in real time on the CI processor, and more research is needed to assess them under more realistic listening conditions.
Authors
- Jean-Marie Lemercier (ORCID: https://orcid.org/0000-0002-8704-7658)
- H. Christiaan Stronks (ORCID: https://orcid.org/0000-0003-1251-8176)
- Jeroen J. Briaire (ORCID: https://orcid.org/0000-0003-4302-817X)
- Johan H. M. Frijns (ORCID: https://orcid.org/0000-0002-1180-3314)
- Timo Gerkmann (ORCID: https://orcid.org/0000-0002-8678-4699)
- Nienke Cornelia Langerak
- Esther F. van Marrewijk
Institutions
- Leiden University (NL)
- Universität Hamburg (DE)
- Leiden University Medical Center (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Ear and Hearing
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1097/aud.0000000000001745
- Citations
- 1
- Primary Topic
- Hearing Loss and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 1.43