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Ali Aroudi
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2020 – today
- 2024
- [i6]Zhongweiyang Xu, Ali Aroudi, Ke Tan, Ashutosh Pandey, Jung-Suk Lee, Buye Xu, Francesco Nesta:
FoVNet: Configurable Field-of-View Speech Enhancement with Low Computation and Distortion for Smart Glasses. CoRR abs/2408.06468 (2024) - [i5]Payal Mohapatra, Ali Aroudi, Anurag Kumar, Morteza Khaleghimeybodi:
Non-verbal Hands-free Control for Smart Glasses using Teeth Clicks. CoRR abs/2408.11346 (2024) - 2022
- [c11]Ali Aroudi, Stefan Uhlich, Marc Ferras Font:
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. INTERSPEECH 2022: 911-915 - 2021
- [j4]Ali Aroudi, Eghart Fischer, Maja Serman, Henning Puder, Simon Doclo:
Closed-Loop Cognitive-Driven Gain Control of Competing Sounds Using Auditory Attention Decoding. Algorithms 14(10): 287 (2021) - [c10]Ali Aroudi, Sebastian Braun:
DBnet: Doa-Driven Beamforming Network for end-to-end Reverberant Sound Source Separation. ICASSP 2021: 211-215 - [i4]Ali Aroudi, Stefan Uhlich, Marc Ferras Font:
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. CoRR abs/2110.04047 (2021) - 2020
- [j3]Ali Aroudi, Simon Doclo:
Cognitive-Driven Binaural Beamforming Using EEG-Based Auditory Attention Decoding. IEEE ACM Trans. Audio Speech Lang. Process. 28: 862-875 (2020) - [c9]Ali Aroudi, Tobias de Taillez, Simon Doclo:
Improving Auditory Attention Decoding Performance of Linear and Non-Linear Methods using State-Space Model. ICASSP 2020: 8703-8707 - [c8]Ali Aroudi, Marc Delcroix, Tomohiro Nakatani, Keisuke Kinoshita, Shoko Araki, Simon Doclo:
Cognitive-Driven Convolutional Beamforming Using EEG-Based Auditory Attention Decoding. MLSP 2020: 1-6 - [i3]Ali Aroudi, Tobias de Taillez, Simon Doclo:
Improving auditory attention decoding performance of linear and non-linear methods using state-space model. CoRR abs/2004.00910 (2020) - [i2]Ali Aroudi, Marc Delcroix, Tomohiro Nakatani, Keisuke Kinoshita, Shoko Araki, Simon Doclo:
Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding. CoRR abs/2005.04669 (2020) - [i1]Ali Aroudi, Sebastian Braun:
DBNET: DOA-driven beamforming network for end-to-end farfield sound source separation. CoRR abs/2010.11566 (2020)
2010 – 2019
- 2019
- [c7]Ali Aroudi, Simon Doclo:
Cognitive-driven Binaural LCMV Beamformer Using EEG-based Auditory Attention Decoding. ICASSP 2019: 406-410 - 2018
- [c6]Ali Aroudi, Daniel Marquardt, Simon Doclo:
EEG-Based Auditory Attention Decoding Using Steerable Binaural Superdirective Beamformer. ICASSP 2018: 851-855 - 2017
- [c5]Ali Aroudi, Simon Doclo:
EEG-based auditory attention decoding using unprocessed binaural signals in reverberant and noisy conditions? EMBC 2017: 484-488 - [c4]Ali Aroudi, Simon Doclo:
EEG-based auditory attention decoding: Impact of reverberation, noise and interference reduction. SMC 2017: 3042-3047 - 2016
- [c3]Ali Aroudi, Bojana Mirkovic, Maarten De Vos, Simon Doclo:
Auditory attention decoding with EEG recordings using noisy acoustic reference signals. ICASSP 2016: 694-698 - 2015
- [j2]Ali Aroudi, Hadi Veisi, Hossein Sameti, Zahra Mafakheri:
Speech signal modeling using multivariate distributions. EURASIP J. Audio Speech Music. Process. 2015: 35 (2015) - [j1]Ali Aroudi, Hadi Veisi, Hossein Sameti:
Hidden Markov model-based speech enhancement using multivariate Laplace and Gaussian distributions. IET Signal Process. 9(2): 177-185 (2015) - 2012
- [c2]Reza Haghmaram, Ali Aroudi, Mohammad Hossein Ghezel Aiagh, Hadi Veisi:
Automatic Noise Recognition Based on Neural Network Using LPC and MFCC Feature Parameters. FedCSIS 2012: 69-73 - [c1]Ali Aroudi, Hadi Veisi, Hossein Sameti:
Speech enhancement based on hidden Markov model with discrete cosine transform coefficients using Laplace and Gaussian distributions. ISSPA 2012: 304-309
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