| 2020 | ICASSP | A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. | Mathias Bach Pedersen, Asger Heidemann Andersen, Sren Holdt Jensen, Jesper Jensen |
| 2020 | Interspeech | End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks. | Mathias Bach Pedersen, Morten Kolbk, Asger Heidemann Andersen, Sren Holdt Jensen, Jesper Jensen |
| 2017 | ICASSP | A non-intrusive Short-Time Objective Intelligibility measure. | Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen |
| 2017 | Interspeech | On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure. | Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen |
| 2016 | ICASSP | A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech. | Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen |
| 2015 | Interspeech | A binaural short time objective intelligibility measure for noisy and enhanced speech. | Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen |