A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. - Mathias Bach Pedersen; Asger Heidemann Andersen; Søren Holdt Jensen; Jesper Jensen 001 (ICASSP, 2020)

End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks. - Mathias Bach Pedersen; Morten Kolbæk; Asger Heidemann Andersen; Søren Holdt Jensen; Jesper Jensen 001 (INTERSPEECH, 2020)

Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data. - Mathias Bach Pedersen; Asger Heidemann Andersen; Søren Holdt Jensen; Zheng-Hua Tan; Jesper Jensen 001 (IEEE Access, 2022)

Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability. - Mathias Bach Pedersen; Søren Holdt Jensen; Zheng-Hua Tan; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)