Hugo Van hamme

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 113

Top Venues

Publications

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 (2024)
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
MSNER: A Multilingual Speech Dataset for Named Entity Recognition. CoRR (2024)
Yihao Li, Meng Sun, Xiongwei Zhang, Hugo Van hamme
Scale-aware dual-branch complex convolutional recurrent network for monaural speech enhancement. Comput. Speech Lang. 86 (2024)
Jakob Poncelet, Hugo Van hamme
Unsupervised Accent Adaptation Through Masked Language Model Correction of Discrete Self-Supervised Speech Units. ICASSP (2024)
Pu Wang, Hugo Van hamme
Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech. EURASIP J. Audio Speech Music. Process. 2023 (1) (2023)
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
Cross-Lingual Transfer Learning for Alzheimer's Detection from Spontaneous Speech. ICASSP (2023)
Jinzi Qi, Hugo Van hamme
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation. INTERSPEECH (2023)
Steven Vander Eeckt, Hugo Van hamme
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition. ICASSP (2023)
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech. CoRR (2023)
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
Analysis of XLS-R for Speech Quality Assessment. CoRR (2023)
Jakob Poncelet, Hugo Van hamme
Unsupervised Accent Adaptation Through Masked Language Model Correction Of Discrete Self-Supervised Speech Units. CoRR (2023)
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
Analysis of XLS-R for Speech Quality Assessment. WASPAA (2023)
Steven Vander Eeckt, Hugo Van hamme
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition. CoRR (2023)
Jinzi Qi, Hugo Van hamme
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation. CoRR (2023)
Lies Bollens, Mohammad Jalilpour-Monesi, Bernd Accou, Jonas Vanthornhout, Hugo Van hamme, Tom Francart
ICASSP 2023 Auditory EEG Decoding Challenge. ICASSP (2023)
Steven Vander Eeckt, Hugo Van hamme
Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition. ICASSP (2023)
Corentin Puffay, Bernd Accou, Lies Bollens, Mohammad Jalilpour-Monesi, Jonas Vanthornhout, Hugo Van hamme, Tom Francart
Relating EEG to continuous speech using deep neural networks: a review. CoRR (2023)
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Whisper-Slu: Extending a Pretrained Speech-to-Text Transformer for Low Resource Spoken Language Understanding. ASRU (2023)
Steven Vander Eeckt, Hugo Van hamme
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition. INTERSPEECH (2023)
Jinzi Qi, Hugo Van hamme
Weak-Supervised Dysarthria-invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training. CoRR (2022)
Corentin Puffay, Jana Van Canneyt, Jonas Vanthornhout, Hugo Van hamme, Tom Francart
Relating the fundamental frequency of speech with EEG using a dilated convolutional network. INTERSPEECH (2022)
Jinzi Qi, Hugo Van hamme
Weak-Supervised Dysarthria-Invariant Features for Spoken Language Understanding Using an Fhvae and Adversarial Training. SLT (2022)
Wim Boes, Hugo Van hamme
Impact of visual assistance for automated audio captioning. CoRR (2022)
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Bidirectional Representations for Low Resource Spoken Language Understanding. CoRR (2022)
Bastiaan Tamm, Helena Balabin, Rik Vandenberghe, Hugo Van hamme
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications. INTERSPEECH (2022)
Bastiaan Tamm, Helena Balabin, Rik Vandenberghe, Hugo Van hamme
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications. CoRR (2022)
Dávid Sztahó, Miklós Gábriel Tulics, Jinzi Qi, Hugo Van hamme, Klára Vicsi
Cross-lingual Detection of Dysphonic Speech for Dutch and Hungarian Datasets. BIOSIGNALS (2022)
Steven Vander Eeckt, Hugo Van hamme
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition. CoRR (2022)
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Multitask Learning for Low Resource Spoken Language Understanding. CoRR (2022)
Wim Boes, Hugo Van hamme
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection. CoRR (2022)
Wei Liu, Meng Sun, Xiongwei Zhang, Hugo Van hamme, Thomas Fang Zheng
A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing. Odyssey (2022)
Lies Bollens, Tom Francart, Hugo Van hamme
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders. CoRR (2022)
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Multitask Learning for Low Resource Spoken Language Understanding. INTERSPEECH (2022)
Wim Boes, Hugo Van hamme
Multi-Source Transformer Architectures for Audiovisual Scene Classification. CoRR (2022)
Pu Wang, Hugo Van hamme
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding. CoRR (2022)
Lies Bollens, Tom Francart, Hugo Van hamme
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders. ICASSP (2022)
Steven Vander Eeckt, Hugo Van hamme
Continual Learning for Monolingual End-to-End Automatic Speech Recognition. EUSIPCO (2022)
Pu Wang, Hugo Van hamme
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding. INTERSPEECH (2022)
Jakob Poncelet, Hugo Van hamme
Learning to Jointly Transcribe and Subtitle for End-to-End Spontaneous Speech Recognition. CoRR (2022)
Wim Boes, Hugo Van hamme
Multi-encoder attention-based architectures for sound recognition with partial visual assistance. EURASIP J. Audio Speech Music. Process. 2022 (1) (2022)
Wim Boes, Hugo Van hamme
Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event Detection. DCASE (2022)
Jakob Poncelet, Hugo Van hamme
Learning to Jointly Transcribe and Subtitle for End-To-End Spontaneous Speech Recognition. SLT (2022)
Wim Boes, Hugo Van hamme
Multi-encoder attention-based architectures for sound recognition with partial visual assistance. CoRR (2022)
Wim Boes, Hugo Van hamme
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection. CoRR (2022)
Mohammad Jalilpour-Monesi, Bernd Accou, Tom Francart, Hugo Van hamme
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. CoRR (2021)
Jakob Poncelet, Hugo Van hamme
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch. CoRR (2021)
Steven Vander Eeckt, Hugo Van hamme
Continual Learning for Monolingual End-to-End Automatic Speech Recognition. CoRR (2021)
Jakob Poncelet, Hugo Van hamme
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch. ASRU (2021)
Mohammad Jalilpour-Monesi, Bernd Accou, Tom Francart, Hugo Van hamme
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. Interspeech (2021)
Wim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
On the long-term learning ability of LSTM LMs. CoRR (2021)
Wim Boes, Hugo Van hamme
Audiovisual transfer learning for audio tagging and sound event detection. CoRR (2021)
Jinzi Qi, Hugo Van hamme
Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-Encoders. Interspeech (2021)
Wei Liu, Meng Sun, Xiongwei Zhang, Hugo Van hamme, Thomas Fang Zheng
A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing. CoRR (2021)
Aku Rouhe, Astrid Van Camp, Mittul Singh, Hugo Van hamme, Mikko Kurimo
An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR. SPECOM (2021)
Wim Boes, Hugo Van hamme
Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection. Interspeech (2021)
Jakob Poncelet, Vincent Renkens, Hugo Van hamme
Low resource end-to-end spoken language understanding with capsule networks. Comput. Speech Lang. 66 (2021)
Bernd Accou, Mohammad Jalilpour-Monesi, Hugo Van hamme, Tom Francart
Predicting speech intelligibility from EEG using a dilated convolutional network. CoRR (2021)
Pu Wang, Bagher BabaAli, Hugo Van hamme
A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech. Interspeech (2021)
Pu Wang, Hugo Van hamme
Pre-training for low resource speech-to-intent applications. CoRR (2021)
Pu Wang, Hugo Van hamme
A Light Transformer For Speech-To-Intent Applications. SLT (2021)
Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé
Show me where the action is! Multim. Tools Appl. 80 (1) (2021)
Mohammad Jalilpour-Monesi, Bernd Accou, Jair Montoya-Martínez, Tom Francart, Hugo Van hamme
An LSTM Based Architecture to Relate Speech Stimulus to Eeg. ICASSP (2020)
Jakob Poncelet, Hugo Van hamme
Multitask Learning with Capsule Networks for Speech-to-Intent Applications. ICASSP (2020)
Bernd Accou, Mohammad Jalilpour-Monesi, Jair Montoya-Martínez, Hugo Van hamme, Tom Francart
Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network. EUSIPCO (2020)
Lyan Verwimp, Hugo Van hamme, Patrick Wambacq
State gradients for analyzing memory in LSTM language models. Comput. Speech Lang. 61 (2020)
Jeroen Zegers, Hugo Van hamme
Analysis of memory in LSTM-RNNs for source separation. CoRR (2020)
Wim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
On the long-term learning ability of LSTM LMs. ESANN (2020)
Pieter Appeltans, Jeroen Zegers, Hugo Van hamme
Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation. INTERSPEECH (2019)
Yinan Li, Meng Sun, Hugo Van hamme, Xiongwei Zhang, Jibin Yang
Robust Hierarchical Learning for Non-Negative Matrix Factorization With Outliers. IEEE Access 7 (2019)
Jeroen Zegers, Hugo Van hamme
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization. CoRR (2019)
Sayeh Mirzaei, Hugo Van hamme, Shima Khosravani
Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks. Signal Process. Image Commun. 76 (2019)
Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Bart Ons, Walter Daelemans, Hugo Van hamme
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. CoRR (2019)
Wim Boes, Hugo Van hamme
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events. CoRR (2019)
Wim Boes, Hugo Van hamme
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events. ACM Multimedia (2019)
Pieter Appeltans, Jeroen Zegers, Hugo Van hamme
Practical applicability of deep neural networks for overlapping speaker separation. CoRR (2019)
Juan Sebastian P. Giraldo, Steven Lauwereins, Komail M. H. Badami, Hugo Van hamme, Marian Verhelst
18μW SoC for near-microphone Keyword Spotting and Speaker Verification. VLSI Circuits (2019)
Jeroen Zegers, Hugo Van hamme
CNN-LSTM Models for Multi-Speaker Source Separation Using Bayesian Hyper Parameter Optimization. INTERSPEECH (2019)
Vincent Renkens, Hugo Van hamme
Capsule Networks for Low Resource Spoken Language Understanding. CoRR (2018)
Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Information-Weighted Neural Cache Language Models for ASR. CoRR (2018)
Jeroen Zegers, Hugo Van hamme
Multi-Scenario Deep Learning for Multi-Speaker Source Separation. ICASSP (2018)
Jeroen Zegers, Hugo Van hamme
Memory Time Span in LSTMs for Multi-Speaker Source Separation. CoRR (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. BlackboxNLP@EMNLP (2018)
Jeroen Zegers, Hugo Van hamme
Multi-scenario deep learning for multi-speaker source separation. CoRR (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. CoRR (2018)
Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Information-Weighted Neural Cache Language Models for ASR. SLT (2018)
Lyan Verwimp, Hugo Van hamme, Patrick Wambacq
TF-LM: TensorFlow-based Language Modeling Toolkit. LREC (2018)
Vincent Renkens, Hugo Van hamme
Capsule Networks for Low Resource Spoken Language Understanding. INTERSPEECH (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. INTERSPEECH (2018)
Dries Hulens, Bram Aerts, Punarjay Chakravarty, Ali Diba, Toon Goedemé, Tom Roussel, Jeroen Zegers, Tinne Tuytelaars, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Joost Vennekens
The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision. MMM (1) (2018)
Jeroen Zegers, Hugo Van hamme
Memory Time Span in LSTMs for Multi-Speaker Source Separation. INTERSPEECH (2018)
Jeroen Zegers, Hugo Van hamme
Improving Source Separation via Multi-Speaker Representations. INTERSPEECH (2017)
Lyan Verwimp, Joris Pelemans, Marieke Lycke, Hugo Van hamme, Patrick Wambacq
Language Models of Spoken Dutch. CoRR (2017)
Jeroen Zegers, Hugo Van hamme
Improving Source Separation via Multi-Speaker Representations. CoRR (2017)
Vincent Renkens, Hugo Van hamme
Weakly Supervised Learning of Hidden Markov Models for Spoken Language Acquisition. IEEE ACM Trans. Audio Speech Lang. Process. 25 (2) (2017)
Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Character-Word LSTM Language Models. CoRR (2017)
Deepak Baby, Hugo Van hamme
Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint. IEEE ACM Trans. Audio Speech Lang. Process. 25 (10) (2017)
Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Character-Word LSTM Language Models. EACL (1) (2017)
Amir Hossein Poorjam, Soheila Hesaraki, Saeid Safavi, Hugo Van hamme, Mohamad Hasan Bahari
Automatic Smoker Detection from Telephone Speech Signals. SPECOM (2017)
Vincent Renkens, Hugo Van hamme
Automatic relevance determination for nonnegative dictionary learning in the gamma-Poisson model. Signal Process. 132 (2017)
Punarjay Chakravarty, Jeroen Zegers, Tinne Tuytelaars, Hugo Van hamme
Active speaker detection with audio-visual co-training. ICMI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hugo Van hamme