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Tom Francart — most-cited papers & profile · Speech Audio
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Tom Francart
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Most-cited papers
A Multi-decoder Neural Tracking Method for Accurately Predicting Speech Intelligibility
2026
Unsupervised EEG-based decoding of absolute auditory attention with canonical correlation analysis
2025
Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech
2025
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses
2016
Head shadow enhancement with low-frequency beamforming improves sound localization and speech perception for simulated bimodal listeners
2017
An LSTM Based Architecture to Relate Speech Stimulus to EEG
2020
EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices
2020
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model
2021
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
2022
Relating the fundamental frequency of speech with EEG using a dilated convolutional network
2022
Relating EEG to continuous speech using deep neural networks: a review
2023
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech
2023
The role of vowel and consonant onsets in neural tracking of natural speech
2023
Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework
2024
Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset
2024
Top co-authors
Hugo Van hamme
· 7
Jonas Vanthornhout
· 7
Alexander Bertrand
· 4
Bernd Accou
· 4
Mohammad Jalilpour Monesi
· 4
Corentin Puffay
· 3
Simon Geirnaert
· 3
Jill Kries
· 2
Lies Bollens
· 2
Maaike Vandermosten
· 2
Pieter De Clercq
· 2
Alain de Cheveign\'e
· 1
Topics
eess.AS
cs.SD
eess.SP
Audio Understanding
Speech Enhancement
Speech Translation
Multimodal Audio
Speech Recognition
q-bio.NC
Text-to-Speech