Asger Heidemann Andersen

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 10

Top Topics

Least Squares Support Vector Machine

Speech Recognition

Objective Measures

Convolutional Neural Networks

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Zheng-Hua Tan, Jesper Jensen
Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data. IEEE Access 10 (2022)
Mathias Bach Pedersen, Morten Kolbæk, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen
End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks. INTERSPEECH (2020)
Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. ICASSP (2020)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Commun. 102 (2018)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26 (10) (2018)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure. INTERSPEECH (2017)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
A non-intrusive Short-Time Objective Intelligibility measure. ICASSP (2017)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
Predicting the Intelligibility of Noisy and Nonlinearly Processed Binaural Speech. IEEE ACM Trans. Audio Speech Lang. Process. 24 (11) (2016)
Asger Heidemann Andersen, Esther Schoenmaker, Steven van de Par
Speech intelligibility prediction as a classification problem. MLSP (2016)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech. ICASSP (2016)
Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
A binaural short time objective intelligibility measure for noisy and enhanced speech. INTERSPEECH (2015)