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Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding



Pu Wang , Hugo Van hamme

* Accepted by Interspeech 2022 

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Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition



Steven Vander Eeckt , Hugo Van hamme

* Submitted to Interspeech 2022. 5 pages, 1 figure 

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Continual Learning for Monolingual End-to-End Automatic Speech Recognition



Steven Vander Eeckt , Hugo Van hamme

* Submitted to ICASSP 2021. 5 pages, 1 figure 

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A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing



Wei Liu , Meng Sun , Xiongwei Zhang , Hugo Van hamme , Thomas Fang Zheng

* submitted to ICASSP 2022 

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Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch



Jakob Poncelet , Hugo Van hamme

* To be published in the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2021) 

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On the long-term learning ability of LSTM LMs



Wim Boes , Robbe Van Rompaey , Lyan Verwimp , Joris Pelemans , Hugo Van hamme , Patrick Wambacq

* ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2020) 625-630 

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A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech



Pu Wang , Bagher BabaAli , Hugo Van hamme

* Accepted by Interspeech 2021 

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Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-encoders



Jinzi Qi , Hugo Van hamme

* 5 pages, 2 figures, submitted to INTERSPEECH2021 

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Audiovisual transfer learning for audio tagging and sound event detection



Wim Boes , Hugo Van hamme

* submitted to INTERSPEECH 2021 

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Predicting speech intelligibility from EEG using a dilated convolutional network



Bernd Accou , Mohammad Jalilpour Monesi , Hugo Van hamme , Tom Francart

* 10 pages, 11 figures 

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