Folgen
Ali Aroudi
Ali Aroudi
Dr. of Engineering
Bestätigte E-Mail-Adresse bei uol.de
Titel
Zitiert von
Zitiert von
Jahr
Cognitive-driven binaural beamforming using EEG-based auditory attention decoding
A Aroudi, S Doclo
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
272020
Auditory attention decoding with EEG recordings using noisy acoustic reference signals
A Aroudi, B Mirkovic, M De Vos, S Doclo
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
272016
Impact of different acoustic components on EEG-based auditory attention decoding in noisy and reverberant conditions
A Aroudi, B Mirkovic, M De Vos, S Doclo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (4 …, 2019
232019
Cognitive-driven binaural LCMV beamformer using EEG-based auditory attention decoding
A Aroudi, S Doclo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
172019
EEG-based auditory attention decoding using steerable binaural superdirective beamformer
A Aroudi, M Daniel, S Doclo
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
Improving auditory attention decoding performance of linear and non-linear methods using state-space model
A Aroudi, T de Taille, S Doclo
arXiv preprint arXiv: 2004.00910, 2020
92020
EEG-based auditory attention decoding using unprocessed binaural signals in reverberant and noisy conditions?
A Aroudi, S Doclo
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
92017
Speech signal modeling using multivariate distributions
A Aroudi, H Veisi, H Sameti, Z Mafakheri
EURASIP Journal on Audio, Speech, and Music Processing 2015 (1), 1-14, 2015
82015
Hidden Markov model‐based speech enhancement using multivariate Laplace and Gaussian distributions
A Aroudi, H Veisi, H Sameti
IET Signal Processing 9 (2), 177-185, 2015
82015
DBnet: DOA-Driven Beamforming Network for End-to-End Reverberant Sound Source Separation
A Aroudi, S Braun
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding
A Aroudi, M Delcroix, T Nakatani, K Kinoshita, S Araki, S Doclo
MLSP, IEEE 30th International Workshop on Machine Learning for Signal …, 2020
72020
EEG-based auditory attention decoding: impact of reverberation, noise and interference reduction
A Aroudi, S Doclo
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
52017
Automatic noise recognition based on neural network using LPC and MFCC feature parameters
R Haghmaram, A Aroudi, MH Ghezel, H Veisi
2012 Federated Conference on Computer Science and Information Systems …, 2012
52012
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation
A Aroudi, S Braun
https://arxiv.org/abs/2010.11566, 2020
42020
Influence of noisy reference signals on selective attention decoding
A Aroudi, B Mirkovic, M De Vos, S Doclo
Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society …, 2015
42015
Closed-Loop Cognitive-Driven Gain Control of Competing Sounds Using Auditory Attention Decoding.
A Aroudi, E Fischer, M Serman, H Puder, S Doclo
Algorithms 2021, 14, 287. https://doi.org/10.3390/a14100287, 2021
32021
Speech enhancement based on hidden Markov model with discrete cosine transform coefficients using Laplace and Gaussian distributions
A Aroudi, H Veisi, H Sameti
2012 11th International Conference on Information Science, Signal Processing …, 2012
22012
TRUNet: Transformer-Recurrent-U Network for End-to-end Multi-channel Reverberant Sound Source Separation
A Aroudi, S Uhlich, MF Font, BV Sony Europe
2022
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation
A Aroudi, S Uhlich, MF Font
arXiv preprint arXiv:2110.04047, 2021
2021
Cognitive-Driven Speech Enhancement Using EEG-based Auditory Attention Decoding for Hearing Aid Applications
A Aroudi
Verlag Dr. Hut, 2021
2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20