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Tom Francart
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2020 – today
- 2024
- [j11]Bernd Accou
, Lies Bollens
SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. Data 9(8): 94 (2024) - [c15]Nicolas Heintz, Simon Geirnaert, Iris Van De Ryck, Tom Francart, Alexander Bertrand:
Probabilistic Gain Control in a Multi-Speaker Setting Using EEG-Based Auditory Attention Decoding. EUSIPCO 2024: 892-896 - [c14]Lies Bollens, Corentin Puffay, Bernd Accou, Jonas Vanthornhout, Hugo Vanhamme, Tom Francart:
ICASSP 2024 Auditory EEG Decoding Challenge. ICASSP Workshops 2024: 127-128 - [i9]Pieter De Clercq, Corentin Puffay, Jill Kries, Hugo Van hamme, Maaike Vandermosten, Tom Francart, Jonas Vanthornhout:
Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework. CoRR abs/2401.10291 (2024) - 2023
- [j10]Marlies Gillis
Neural tracking of linguistic and acoustic speech representations decreases with advancing age. NeuroImage 267: 119841 (2023) - [c13]Simon Geirnaert, Tom Francart, Alexander Bertrand
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses. EUSIPCO 2023: 1000-1004 - [c12]Lies Bollens, Mohammad Jalilpour-Monesi, Bernd Accou, Jonas Vanthornhout, Hugo Van hamme, Tom Francart:
ICASSP 2023 Auditory EEG Decoding Challenge. ICASSP 2023: 1-2 - [c11]Nicolas Heintz
Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding. ICASSP 2023: 1-5 - [i8]Corentin Puffay
Relating EEG to continuous speech using deep neural networks: a review. CoRR abs/2302.01736 (2023) - [i7]Pieter De Clercq, Jill Kries, Ramtin Mehraram, Jonas Vanthornhout, Tom Francart, Maaike Vandermosten:
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech. CoRR abs/2303.07739 (2023) - [i6]Nicolas Heintz, Tom Francart, Alexander Bertrand:
Minimally Informed Linear Discriminant Analysis: training an LDA model with unlabelled data. CoRR abs/2310.11110 (2023) - 2022
- [j9]Simon Geirnaert
Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction. IEEE J. Biomed. Health Informatics 26(8): 3767-3778 (2022) - [c10]Lies Bollens
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders. ICASSP 2022: 1256-1260 - [c9]Corentin Puffay
Relating the fundamental frequency of speech with EEG using a dilated convolutional network. INTERSPEECH 2022: 4038-4042 - [i5]Lies Bollens, Tom Francart, Hugo Van hamme:
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders. CoRR abs/2207.00323 (2022) - 2021
- [j8]Simon Geirnaert
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. IEEE Signal Process. Mag. 38(4): 89-102 (2021) - [j7]Simon Geirnaert
Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns. IEEE Trans. Biomed. Eng. 68(5): 1557-1568 (2021) - [j6]Jana Van Canneyt
Enhanced Neural Tracking of the Fundamental Frequency of the Voice. IEEE Trans. Biomed. Eng. 68(12): 3612-3619 (2021) - [j5]Simon Geirnaert
Unsupervised Self-Adaptive Auditory Attention Decoding. IEEE J. Biomed. Health Informatics 25(10): 3955-3966 (2021) - [c8]Simon Geirnaert, Tom Francart, Alexander Bertrand
Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG. ICASSP 2021: 1115-1119 - [c7]Mohammad Jalilpour-Monesi
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. Interspeech 2021: 526-530 - [i4]Bernd Accou, Mohammad Jalilpour-Monesi, Hugo Van hamme, Tom Francart:
Predicting speech intelligibility from EEG using a dilated convolutional network. CoRR abs/2105.06844 (2021) - [i3]Mohammad Jalilpour-Monesi, Bernd Accou, Tom Francart, Hugo Van hamme:
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. CoRR abs/2106.09622 (2021) - 2020
- [j4]Neetha Das, Jonas Vanthornhout, Tom Francart, Alexander Bertrand
Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research. NeuroImage 204 (2020) - [c6]Bernd Accou
Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network. EUSIPCO 2020: 1175-1179 - [c5]Mohammad Jalilpour-Monesi
An LSTM Based Architecture to Relate Speech Stimulus to Eeg. ICASSP 2020: 941-945
2010 – 2019
- 2019
- [c4]Simon Geirnaert
A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain. EUSIPCO 2019: 1-5 - 2017
- [j3]Simon Van Eyndhoven
EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses. IEEE Trans. Biomed. Eng. 64(5): 1045-1056 (2017) - [c3]Neetha Das, Simon Van Eyndhoven
EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters. EUSIPCO 2017: 1660-1664 - [i2]Benjamin Dieudonné, Tom Francart:
Head shadow enhancement with fixed beamformers improves sound localization based on interaural level differences. CoRR abs/1710.01904 (2017) - 2016
- [c2]Neetha Das, Simon Van Eyndhoven
Adaptive attention-driven speech enhancement for EEG-informed hearing prostheses. EMBC 2016: 77-80 - [i1]Simon Van Eyndhoven, Tom Francart, Alexander Bertrand:
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses. CoRR abs/1602.05702 (2016) - 2015
- [j2]Jan Wouters
Sound Coding in Cochlear Implants: From electric pulses to hearing. IEEE Signal Process. Mag. 32(2): 67-80 (2015) - [c1]Wouter Biesmans, Jonas Vanthornhout, Jan Wouters
Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario. EMBC 2015: 5155-5158 - 2013
- [j1]Jan Wouters
Sound Processing for Better Coding of Monaural and Binaural Cues in Auditory Prostheses. Proc. IEEE 101(9): 1986-1997 (2013)
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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