MusIC4allApp1.0
The App offers an original method to listen and interact with new music compositions for cochlear implants.
MusIC4allApp2.0
This App focuses on the ability to identify melodic contours. It can be used for training or testing purposes. The app offers the originial and a simplifed version of the melodic contour patterns designed by Galvin et al. (2007) with nine or five possible melodic contours. All notes in the melodic contour patterns were from a sung speech corpus that was created for this app and was sung by a trained female singer. The has been developed for Android operating system and will be published in Google Play.
Open source algorithms & models
GitHub repositories for different projects carried out at the APG.
Paper | Repository |
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Gajecki et. al., 2022 | Deep ACE 2.0 |
Gajecki & Nogueira, 2022 | Deep Fusion Layers |
Alvarez & Nogueira, 2022 | SAMII |
Kipping & Nogueira, 2022 | Single-fiber EAS model |
Gajecki & Nogueira, 2022 | Deep ACE 1.0 |
Nogueira & Dolhopiatenko, 2020 | Selective attention DNN |
Langner et. al., 2020 | Loudness model |
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 Deutschland |
Phone: | +49 (0)511 532 8025 |
Fax: | +49 (0)511 532 6833 |
E-Mail: | nogueiravazquez.waldo@mh-hannover.de |