BINOM: Coding of Electrical Stimulation Patterns for Binaural Signal Processing in Cochlear Implants
This projects investigates different binaural sound coding schemes to improve hearing in bilateral cochlear implant users.
Funding:
This project is funded by the German Research Foundation (DFG) - Project number: 381895691
Contact | |
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Head of Research Group: |
[Prof. Dr.-Ing. Waldo Nogueira] |
Address: |
DHZ-Deutsches HörZentrum Hannover Karl-Wiechert-Allee 3 30625 Hannover |
Phone: | +49 (0)511 532 8025 |
Fax: | +49 (0)511 532 6833 |
E-Mail: | nogueiravazquez.waldo@mh-hannover.de |
Publications:
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R. Hinrichs, T. Gajecki, J. Ostermann, W. Nogueira. A Subjective and Objective Evaluation of a Codec for the Electrical Stimulation Patterns of Cochlear Implants. The Journal of the Acoustical Societ yof America, 2020. (Submitted)
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T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences for Bilateral Cochlear Implant Users. The Journal of the Acoustical Society of America, 2020. (Submitted)
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T. Gajecki, W. Nogueira. The Effect of Synchronized Linked Band Selection on Speech Intelligibility of Bilateral Cochlear Implant Users. Hearing Research, 2020.
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S. Tahmasebi, T. Gajecki, W. Nogueira. Design and Evaluation of a Real-Time Audio Source Separation Algorithm to Remix Music for Cochlear Implant Users. Frontiers in Neuroscience, 2020.
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R. Hinrichs, T. Gajecki, J. Ostermann, W. Nogueira. Coding of Electrical Stimulation Patterns for Binaural Sound Coding Strategies for Cochlear Implants. IEEE EMBC, 2019.
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T. Gajecki, W. Nogueira. A Synchronized Binaural N-of-M Sound Coding Strategy to Improve Speech Intelligibility in Noise of Bilateral Cochlear Implant Users. ITG Speech Communication, 2018.
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T. Gajecki, W. Nogueira. Deep Learning Models to Remix Music for Cochlear Implant Users. The Journal of the Acoustical Society of America, 2018.
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W. Nogueira, T. Gajecki, B. Krüger, J. Janer, A. Büchner. Development of a Sound Coding Strategy based on a Deep Recurrent Neural Network for Monaural Source Separation in Cochlear Implants. ITG Speech Communication. Padeborn, Germany, 2016.
Patents:
More information will follow soon ...