| Paper ID | AUD-P2.2 |
| Paper Title |
A NEURAL NETWORK FOR MONAURAL INTRUSIVE SPEECH INTELLIGIBILITY PREDICTION |
| Authors |
Mathias Bach Pedersen, Aalborg University, Denmark; Asger Heidemann Andersen, Oticon A/S, Denmark; Søren Holdt Jensen, Jesper Jensen, Aalborg University, Denmark |
| Session | AUD-P2: Deep Learning for Speech and Audio |
| Location | On-Demand |
| Session Time: | Tuesday, 05 May, 11:30 - 13:30 |
| Presentation Time: | Tuesday, 05 May, 11:30 - 13:30 |
| Presentation |
Poster
|
| Topic |
Audio and Acoustic Signal Processing: [AUD-QIM] Quality and Intelligibility Measures |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |