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Asger Heidemann Andersen
Asger Heidemann Andersen
Senior DSP Specialist, Demant A/S
Verified email at demant.com
Title
Cited by
Cited by
Year
Nonintrusive speech intelligibility prediction using convolutional neural networks
AH Andersen, JM De Haan, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018
372018
Predicting the intelligibility of noisy and nonlinearly processed binaural speech
AH Andersen, JM de Haan, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016
342016
A non-intrusive short-time objective intelligibility measure
AH Andersen, JM de Haan, ZH Tan, J Jensen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
312017
Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions
AH Andersen, JM de Haan, ZH Tan, J Jensen
Speech Communication 102, 1-13, 2018
212018
A binaural short time objective intelligibility measure for noisy and enhanced speech
AH Andersen, JM Haan, ZH Tan, J Jensen
Sixteenth Annual Conference of the International Speech Communication …, 2015
132015
A neural network for monaural intrusive speech intelligibility prediction
MB Pedersen, AH Andersen, SH Jensen, J Jensen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
102020
Hearing system comprising a binaural speech intelligibility predictor
J Jensen, AH Andersen
US Patent 9,924,279, 2018
92018
End-to-end speech intelligibility prediction using time-domain fully convolutional neural networks
M Pedersen, M Kolbęk, AH Andersen, SH Jensen, J Jensen
Interspeech 2020, 1151-1155, 2020
82020
Creating clarity in noisy environments by using deep learning in hearing aids
AH Andersen, S Santurette, MS Pedersen, E Alickovic, L Fiedler, J Jensen, ...
Seminars in Hearing 42 (03), 260-281, 2021
52021
A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech
AH Andersen, JM De Haan, ZH Tan, J Jensen
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
42016
Monaural speech intelligibility predictor unit, a hearing aid and a binaural hearing system
J Jensen, AH Andersen
US Patent 10,154,353, 2018
32018
Speech intelligibility prediction as a classification problem
AH Andersen, E Schoenmaker, S van de Par
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
32016
On multiple sound zones for wideband signals
AH Andersen
Master's thesis, Aalborg Univ., Aalborg, Denmark, 2014
22014
Method for predicting the intelligibility of noisy and/or enhanced speech and a binaural hearing system
AH Andersen, TAN Zheng-Hua, J Jensen, MS Pedersen
US Patent 10,057,693, 2018
12018
On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure
AH Andersen, JM de Haan, ZH Tan, J Jensen
Interspeech 2017, 2963-2967, 2017
12017
Speech intelligibility prediction for hearing aid systems
AH Andersen
Aalborg Universitetsforlag, 2017
12017
Method of operating a hearing device and a hearing device providing speech enhancement based on an algorithm optimized with a speech intelligibility prediction algorithm
AH Andersen, J Jensen
US Patent 10,966,034, 2021
2021
Performance evaluation of the short-time objective intelligibility measure with different band importance functions
AH Andersen, JM de Haan, ZH Tan, J Jensen
2017
2016 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 24
S Abdul-Rauf, WH Abdulla, SI Adalbjornsson, M Adeli, K Adiloglu, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12), 2555, 2016
2016
Predicting the Intelligibility of Noisy and Enhanced Binaural Speech
AH Andersen, JM De Haan, ZH Tan, J Jensen
2016
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