Asger Heidemann Andersen

11 papers A 3Misc 3Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data.
IEEE Access
Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Zheng-Hua Tan, Jesper Jensen
2020 Misc conf
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction.
ICASSP
Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen
2020 A conf
End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks.
INTERSPEECH
Mathias Bach Pedersen, Morten Kolbæk, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen
2018 J jnl
Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process.
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2018 J jnl
Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions.
Speech Commun.
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2017 Misc conf
A non-intrusive Short-Time Objective Intelligibility measure.
ICASSP
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2017 A conf
On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure.
INTERSPEECH
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2016 Misc conf
A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech.
ICASSP
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2016 J jnl
Predicting the Intelligibility of Noisy and Nonlinearly Processed Binaural Speech.
IEEE ACM Trans. Audio Speech Lang. Process.
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
2016 — conf
Speech intelligibility prediction as a classification problem.
MLSP
Asger Heidemann Andersen, Esther Schoenmaker, Steven van de Par
2015 A conf
A binaural short time objective intelligibility measure for noisy and enhanced speech.
INTERSPEECH
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen