Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection. - Michael Unser; Hugo Van hamme; Patrick de Muynck; E. Van Denhaute; Jan Cornelis 001 (CVPR, 1988)

Maximum likelihood estimation of superimposed complex sinusoids in white Gaussian noise by reduced effort coarse search (RECS). - Hugo Van hamme (IEEE Trans. Signal Process., 1991)

A stochastical limit to the resolution of least squares estimation of the frequencies of a double complex sinusoid. - Hugo Van hamme (IEEE Trans. Signal Process., 1991)

ARDOSS: autoregressive domain spectral subtraction for robust speech recognition in additive noise. - Hugo Van hamme (ICSLP, 1994)

Comparison of acoustic features and robustness tests of a real-time recogniser using a hardware telephone line simulator. - Hugo Van hamme; Guido Gallopyn; Ludwig Weynants; Bart D'hoore; Hervé Bourlard (ICSLP, 1994)

Identification of linear dynamic systems using piecewise constant excitations: Use, misuse and alternatives. - Johan Schoukens; Rik Pintelon; Hugo Van hamme (Autom., 1994)

Parametric identification of transfer functions in the frequency domain-a survey. - Rik Pintelon; Patrick Guillaume; Yves Rolain; Johan Schoukens; Hugo Van hamme (IEEE Trans. Autom. Control., 1994)

An adaptive-beam pruning technique for continuous speech recognition. - Hugo Van hamme; Filip Van Aelten (ICSLP, 1996)

General framework for asymptotic properties of generalized weighted nonlinear least-squares estimators with deterministic and stochastic weighting. - Gerd Vandersteen; Hugo Van hamme; Rik Pintelon (IEEE Trans. Autom. Control., 1996)

Speaker normalization for automatic speech recognition - An on-line approach. - Ioannis Dologlou; Tom Claes; Louis ten Bosch; Dirk Van Compernolle; Hugo Van hamme (EUSIPCO, 1998)

Adapting Western Language Recognizer for Chinese Recognition. - Hong Xu; Frédéric Beaugendre; Hugo Van hamme (ISCSLP, 1998)

Accuracy versus complexity in context dependent phone modeling. - Wei Xu; Jacques Duchateau; Kris Demuynck; Ioannis Dologlou; Patrick Wambacq; Dirk Van Compernolle; Hugo Van hamme (EUROSPEECH, 1999)

Model-based feature enhancement for noisy speech recognition. - Christophe Couvreur; Hugo Van hamme (ICASSP, 2000)

Evaluation of various confidence-based strategies for isolated word rejection. - Elena Tsiporkova; Filiep Vanpoucke; Hugo Van hamme (ICASSP, 2000)

Dialect adaptation for Mandarin Chinese speech recognition. - Frédéric Beaugendre; Tom Claes; Hugo Van hamme (INTERSPEECH, 2000)

Investigation of speech recognition over IP channels. - Jim Van Sciver; Jeff Z. Ma; Filiep Vanpoucke; Hugo Van hamme (ICASSP, 2002)

FLavor: a flexible architecture for LVCSR. - Kris Demuynck; Tom Laureys; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2003)

Assessment of dereverberation algorithms for large vocabulary speech recognition systems. - Koen Eneman; Jacques Duchateau; Marc Moonen; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2003)

Two correction models for likelihoods in robust speech recognition using missing feature theory. - Hugo Van hamme (INTERSPEECH, 2003)

Robust speech recognition using missing feature theory in the cepstral or LDA domain. - Hugo Van hamme (INTERSPEECH, 2003)

Robust speech recognition using model-based feature enhancement. - Veronique Stouten; Hugo Van hamme; Kris Demuynck; Patrick Wambacq (INTERSPEECH, 2003)

Evaluation of model-based feature enhancement on the AURORA-4 task. - Veronique Stouten; Hugo Van hamme; Jacques Duchateau; Patrick Wambacq (INTERSPEECH, 2003)

Correction of likelihoods for degrees of freedom in robust speech recognition using missing feature theory. - Hugo Van hamme (ISSPA (1), 2003)

Robust speech recognition using cepstral domain missing data techniques and noisy masks. - Hugo Van hamme (ICASSP (1), 2004)

Joint removal of additive and convolutional noise with model-based feature enhancement. - Veronique Stouten; Hugo Van hamme; Patrick Wambacq (ICASSP (1), 2004)

PROSPECT features and their application to missing data techniques for robust speech recognition. - Hugo Van hamme (INTERSPEECH, 2004)

Accounting for the uncertainty of speech estimates in the context of model-based feature enhancement. - Hugo Van hamme; Patrick Wambacq; Veronique Stouten (INTERSPEECH, 2004)

Use and Evaluation of Prosodic Annotations in Dutch. - Jacques Duchateau; Tim Ceyssens; Hugo Van hamme (LREC, 2004)

Evaluation and Adaptation of the Celex Dutch Morphological Database. - Tom Laureys; Guy De Pauw; Hugo Van hamme; Walter Daelemans; Dirk Van Compernolle (LREC, 2004)

A Comparison of Two Different Approaches to Morphological Analysis of Dutch. - Guy De Pauw; Tom Laureys; Walter Daelemans; Hugo Van hamme (SIGMORPHON@ACL, 2004)

Effect of Phase-Sensitive Environment Model and Higher Order VTS on Noisy Speech Feature Enhancement. - Veronique Stouten; Hugo Van hamme; Patrick Wambacq (ICASSP (1), 2005)

Statistical language models for large vocabulary spontaneous speech recognition in dutch. - Jacques Duchateau; Dong Hoon Van Uytsel; Hugo Van hamme; Patrick Wambacq (INTERSPEECH, 2005)

PROSPECT features and their application to missing data techniques for vocal tract length normalization. - Wim Jansen; Hugo Van hamme (INTERSPEECH, 2005)

Kalman and unscented kalman filter feature enhancement for noise robust ASR. - Veronique Stouten; Hugo Van hamme; Patrick Wambacq (INTERSPEECH, 2005)

Application of Minimum Statistics and Minima Controlled Recursive Averaging Methods to Estimate a Cepstral Noise Model for Robust ASR. - Veronique Stouten; Hugo Van hamme; Patrick Wambacq (ICASSP (1), 2006)

Maximum Likelihood Based Temporal Frame Selection. - Tingyao Wu; Dirk Van Compernolle; Jacques Duchateau; Hugo Van hamme (ICASSP (1), 2006)

Handling Time-Derivative Features in a Missing Data Framework for Robust Automatic Speech Recognition. - Hugo Van hamme (ICASSP (1), 2006)

Developing an automatic assessment tool for children²s oral reading. - Leen Cleuren; Jacques Duchateau; Alain Sips; Pol Ghesquière; Hugo Van hamme (INTERSPEECH, 2006)

Robust phone lattice decoding. - Kris Demuynck; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2006)

Handling convolutional noise in missing data automatic speech recognition. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2006)

Single frame selection for phoneme classification. - Tingyao Wu; Dirk Van Compernolle; Jacques Duchateau; Hugo Van hamme (INTERSPEECH, 2006)

JASMIN-CGN: Extension of the Spoken Dutch Corpus with Speech of Elderly People, Children and Non-natives in the Human-Machine Interaction Modality. - Catia Cucchiarini; Hugo Van hamme; Olga van Herwijnen; Felix Smits (LREC, 2006)

Model-based feature enhancement with uncertainty decoding for noise robust ASR. - Veronique Stouten; Hugo Van hamme; Patrick Wambacq (Speech Commun., 2006)

DCT-Based Amplitude and Frequency Modulated Harmonic-Plus-Noise Modelling for Text-to-Speech Synthesis. - Kris Hermus; Hugo Van hamme; Werner Verhelst; Sufian Irhimeh; Jan De Moortel (ICASSP (4), 2007)

Automatic assessment of children's reading level. - Jacques Duchateau; Leen Cleuren; Hugo Van hamme; Pol Ghesquière (INTERSPEECH, 2007)

Fixed-size kernel logistic regression for phoneme classification. - Peter Karsmakers; Kristiaan Pelckmans; Johan A. K. Suykens; Hugo Van hamme (INTERSPEECH, 2007)

Vector-quantization based mask estimation for missing data automatic speech recognition. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2007)

Automatically learning the units of speech by non-negative matrix factorisation. - Veronique Stouten; Kris Demuynck; Hugo Van hamme (INTERSPEECH, 2007)

A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition. - Kris Hermus; Patrick Wambacq; Hugo Van hamme (EURASIP J. Adv. Signal Process., 2007)

Estimation of the Voicing Cut-Off Frequency Contour Based on a Cumulative Harmonicity Score. - Kris Hermus; Hugo Van hamme; Sufian Irhimeh (IEEE Signal Process. Lett., 2007)

Unsupervised learning of auditory filter banks using non-negative matrix factorisation. - Alexander Bertrand; Kris Demuynck; Veronique Stouten; Hugo Van hamme (ICASSP, 2008)

Fast speaker adaptation using non-negative matrix factorization. - Jacques Duchateau; Tobias Leroy; Kris Demuynck; Hugo Van hamme (ICASSP, 2008)

Estimation of the voicing cut-off frequency contour of natural speech based on harmonic and aperiodic energies. - Kris Hermus; Laurent Girin; Hugo Van hamme; Sufian Irhimeh (ICASSP, 2008)

Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks. - Maarten Van Segbroeck; Hugo Van hamme (ICASSP, 2008)

A computational model of language acquisition: focus on word discovery. - Louis ten Bosch; Hugo Van hamme; Lou Boves (INTERSPEECH, 2008)

Improving the multigram algorithm by using lattices as input. - Joris Driesen; Hugo Van hamme (INTERSPEECH, 2008)

Lip synchronization: from phone lattice to PCA eigen-projections using neural networks. - Samer Al Moubayed; Michaël De Smet; Hugo Van hamme (INTERSPEECH, 2008)

Discriminative model combination and language model selection in a reading tutor for children. - Abdurrahman Samir; Jacques Duchateau; Hugo Van hamme (INTERSPEECH, 2008)

Comparison of variable selection methods and classifiers for native accent identification. - Tingyao Wu; Peter Karsmakers; Hugo Van hamme; Dirk Van Compernolle (INTERSPEECH, 2008)

HAC-models: a novel approach to continuous speech recognition. - Hugo Van hamme (INTERSPEECH, 2008)

Children's Oral Reading Corpus (CHOREC): Description and Assessment of Annotator Agreement. - Leen Cleuren; Jacques Duchateau; Pol Ghesquière; Hugo Van hamme (LREC, 2008)

Recording Speech of Children, Non-Natives and Elderly People for HLT Applications: the JASMIN-CGN Corpus. - Catia Cucchiarini; Joris Driesen; Hugo Van hamme; Eric Sanders (LREC, 2008)

Discovering Phone Patterns in Spoken Utterances by Non-Negative Matrix Factorization. - Veronique Stouten; Kris Demuynck; Hugo Van hamme (IEEE Signal Process. Lett., 2008)

Adaptive non-negative matrix factorization in a computational model of language acquisition. - Joris Driesen; Louis ten Bosch; Hugo Van hamme (INTERSPEECH, 2009)

Evaluation of phone lattice based speech decoding. - Jacques Duchateau; Kris Demuynck; Hugo Van hamme (INTERSPEECH, 2009)

Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases. - Jort F. Gemmeke; Yujun Wang; Maarten Van Segbroeck; Bert Cranen; Hugo Van hamme (INTERSPEECH, 2009)

Applying non-negative matrix factorization on time-frequency reassignment spectra for missing data mask estimation. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2009)

On a Computational Model for Language Acquisition: Modeling Cross-Speaker Generalisation. - Louis ten Bosch; Joris Driesen; Hugo Van hamme; Lou Boves (TSD, 2009)

A Computational Model of Language Acquisition: the Emergence of Words. - Louis ten Bosch; Lou Boves; Hugo Van hamme; Roger K. Moore (Fundam. Informaticae, 2009)

Developing a reading tutor: Design and evaluation of dedicated speech recognition and synthesis modules. - Jacques Duchateau; Yuk On Kong; Leen Cleuren; Lukas Latacz; Jan Roelens; Abdurrahman Samir; Kris Demuynck; Pol Ghesquière; Werner Verhelst; Hugo Van hamme (Speech Commun., 2009)

Unsupervised learning of time-frequency patches as a noise-robust representation of speech. - Maarten Van Segbroeck; Hugo Van hamme (Speech Commun., 2009)

Automatic voice onset time estimation from reassignment spectra. - Veronique Stouten; Hugo Van hamme (Speech Commun., 2009)

Histogram equalization and noise masking for robust speech recognition. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2010)

Feature versus model based noise robustness. - Kris Demuynck; Xueru Zhang; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2010)

Learning from images and speech with Non-negative Matrix Factorization enhanced by input space scaling. - Joris Driesen; Hugo Van hamme; W. Bastiaan Kleijn (SLT, 2010)

Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition. - Jort F. Gemmeke; Hugo Van hamme; Bert Cranen; Louis Boves (IEEE J. Sel. Top. Signal Process., 2010)

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. - Jort F. Gemmeke; Maarten Van Segbroeck; Yujun Wang; Bert Cranen; Hugo Van hamme (Robust Speech Recognition of Uncertain or Missing Data, 2011)

An hierarchical exemplar-based sparse model of speech, with an application to ASR. - Jort F. Gemmeke; Hugo Van hamme (ASRU, 2011)

Speaker age estimation and gender detection based on supervised Non-Negative Matrix Factorization. - Mohamad Hasan Bahari; Hugo Van hamme (BioMS, 2011)

Progress in example based automatic speech recognition. - Kris Demuynck; Dino Seppi; Hugo Van hamme; Dirk Van Compernolle (ICASSP, 2011)

Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization. - Meng Sun 001; Hugo Van hamme (ICASSP, 2011)

Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2011)

Phonetic analysis of a computational model for vocabulary acquisition from auditory inputs. - Hugo Van hamme (ICDL-EPIROB, 2011)

Image pattern discovery by using the spatial closeness of visual code words. - Meng Sun 001; Hugo Van hamme (ICIP, 2011)

Rapid Speaker Adaptation using Maximum Likelihood Neural Regression. - Mohamad Hasan Bahari; Hugo Van hamme (ICME, 2011)

A two-layer non-negative matrix factorization model for vocabulary discovery. - Meng Sun 001; Hugo Van hamme (MLSLP, 2011)

Gaussian Selection Using Self-Organizing Map for Automatic Speech Recognition. - Yujun Wang; Hugo Van hamme (WSOM, 2011)

Modelling vocabulary acquisition, adaptation and generalization in infants using adaptive Bayesian PLSA. - Joris Driesen; Hugo Van hamme (Neurocomputing, 2011)

Sparse conjugate directions pursuit with application to fixed-size kernel models. - Peter Karsmakers; Kristiaan Pelckmans; Kris De Brabanter; Hugo Van hamme; Johan A. K. Suykens (Mach. Learn., 2011)

Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition. - Maarten Van Segbroeck; Hugo Van hamme (IEEE Trans. Speech Audio Process., 2011)

Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning. - Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Joris Driesen; Hugo Van hamme; Walter Daelemans (SMIAE@ACL, 2012)

An On-Line NMF Model for Temporal Pattern Learning: Theory with Application to Automatic Speech Recognition. - Hugo Van hamme (LVA/ICA, 2012)

Weakly supervised keyword learning using sparse representations of speech. - Joris Driesen; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2012)

Fast word acquisition in an NMF-based learning framework. - Joris Driesen; Hugo Van hamme (ICASSP, 2012)

Tri-factorization learning of sub-word units with application to vocabulary acquisition. - Meng Sun 001; Hugo Van hamme (ICASSP, 2012)

Latent variable speaker adaptation of Gaussian mixture weights and means. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (ICASSP, 2012)

Age Estimation from Telephone Speech using i-vectors. - Mohamad Hasan Bahari; Mitchell McLaren; Hugo Van hamme; David A. van Leeuwen (INTERSPEECH, 2012)

Data-driven speech representations for NMF-based word learning. - Joris Driesen; Jort F. Gemmeke; Hugo Van hamme (SAPA@INTERSPEECH, 2012)

A Self-Learning Assistive Vocal Interface Based on Vocabulary Learning and Grammar Induction. - Jort F. Gemmeke; Janneke van de Loo; Guy De Pauw; Joris Driesen; Hugo Van hamme; Walter Daelemans (INTERSPEECH, 2012)

Advances in noise robust digit recognition using hybrid exemplar-based techniques. - Jort F. Gemmeke; Hugo Van hamme (INTERSPEECH, 2012)

Robust Tracking for Automatic Reading Tutors. - Emre Yilmaz 001; Dirk Van Compernolle; Hugo Van hamme (INTERSPEECH, 2012)

Speaker adaptation using Maximum Likelihood General Regression. - Mohamad Hasan Bahari; Hugo Van hamme (ISSPA, 2012)

Speaker age estimation using Hidden Markov Model weight supervectors. - Mohamad Hasan Bahari; Hugo Van hamme (ISSPA, 2012)

Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (IWSDS, 2012)

Combining exemplar-based matching and exemplar-based sparse representations of speech. - Emre Yilmaz 001; Dirk Van Compernolle; Hugo Van hamme (MLSLP, 2012)

Noise-robust digit recognition with exemplar-based sparse representations of variable length. - Emre Yilmaz 001; Jort F. Gemmeke; Dirk Van Compernolle; Hugo Van hamme (MLSP, 2012)

Subspace-GMM acoustic models for under-resourced languages: feasibility study. - Xueru Zhang; Kris Demuynck; Dirk Van Compernolle; Hugo Van hamme (SLTU, 2012)

Multi-candidate missing data imputation for robust speech recognition. - Yujun Wang; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2012)

Human language technology and communicative disabilities: requirements and possibilities for the future. - Marina B. Ruiter; Lilian Beijer; Catia Cucchiarini; Emiel Krahmer; Toni C. M. Rietveld; Helmer Strik; Hugo Van hamme (Lang. Resour. Evaluation, 2012)

Supervised input space scaling for non-negative matrix factorization. - Joris Driesen; Hugo Van hamme (Signal Process., 2012)

Large Scale Graph Regularized Non-Negative Matrix Factorization With ℓ1 Normalization Based on Kullback-Leibler Divergence. - Meng Sun 001; Hugo Van hamme (IEEE Trans. Signal Process., 2012)

NMF-based keyword learning from scarce data. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (ASRU, 2013)

Exemplar selection techniques for sparse representations of speech using multiple dictionaries. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (EUSIPCO, 2013)

Accent recognition using i-vector, Gaussian Mean Supervector and Gaussian posterior probability supervector for spontaneous telephone speech. - Mohamad Hasan Bahari; Rahim Saeidi; Hugo Van hamme; David A. van Leeuwen (ICASSP, 2013)

Embedding time warping in exemplar-based sparse representations of speech. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2013)

A diagonalized newton algorithm for non-negative sparse coding. - Hugo Van hamme (ICASSP, 2013)

Self-taught assistive vocal interfaces: an overview of the ALADIN project. - Jort F. Gemmeke; Bart Ons; Netsanet M. Tessema; Hugo Van hamme; Janneke van de Loo; Guy De Pauw; Walter Daelemans; Jonathan Huyghe; Jan Derboven; Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; et al. (INTERSPEECH, 2013)

Model order estimation using Bayesian NMF for discovering phone patterns in spoken utterances. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (INTERSPEECH, 2013)

Comparing and combining classifiers for self-taught vocal interfaces. - Lize Broekx; Katrien Dreesen; Jort Florent Gemmeke; Hugo Van hamme (SLPAT, 2013)

Automating speech reception threshold measurements using automatic speech recognition. - Hanne Deprez; Emre Yilmaz 001; Stefan Lievens; Hugo Van hamme (SLPAT, 2013)

A Self Learning Vocal Interface for Speech-impaired Users. - Bart Ons; Netsanet M. Tessema; Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Walter Daelemans; Hugo Van hamme (SLPAT, 2013)

Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (SLPAT, 2013)

An exemplar-based NMF approach to audio event detection. - Jort F. Gemmeke; Lode Vuegen; Peter Karsmakers; Bart Vanrumste; Hugo Van hamme (WASPAA, 2013)

Bayesian non-parametric matrix factorization for discovering words in spoken utterances. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (WASPAA, 2013)

The Diagonalized Newton Algorithm for Nonnegative Matrix Factorization - Hugo Van hamme (ICLR (Poster), 2013)

Joint training of non-negative Tucker decomposition and discrete density hidden Markov models. - Meng Sun 001; Hugo Van hamme (Comput. Speech Lang., 2013)

Rapid speaker adaptation in latent speaker space with non-negative matrix factorization. - Xueru Zhang; Kris Demuynck; Hugo Van hamme (Speech Commun., 2013)

The JASMIN Speech Corpus: Recordings of Children, Non-natives and Elderly People. - Catia Cucchiarini; Hugo Van hamme (Essential Speech and Language Technology for Dutch, 2013)

Missing Data Solutions for Robust Speech Recognition. - Yujun Wang; Jort F. Gemmeke; Kris Demuynck; Hugo Van hamme (Essential Speech and Language Technology for Dutch, 2013)

Blind audio source separation of stereo mixtures using Bayesian Non-negative Matrix Factorization. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (EUSIPCO, 2014)

Coupled dictionary training for exemplar-based speech enhancement. - Deepak Baby; Tuomas Virtanen; Tom Barker; Hugo Van hamme (ICASSP, 2014)

Coping with language data sparsity: Semantic head mapping of compound words. - Joris Pelemans; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (ICASSP, 2014)

Active-set newton algorithm for non-negative sparse coding of audio. - Tuomas Virtanen; Bhiksha Raj; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2014)

Noise-robust speech recognition with exemplar-based sparse representations using Alpha-Beta divergence. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2014)

Modelling primitive streaming of simple tone sequences through factorisation of modulation pattern tensors. - Tom Barker; Hugo Van hamme; Tuomas Virtanen (INTERSPEECH, 2014)

Blind speech source localization, counting and separation for 2-channel convolutive mixtures in a reverberant environment. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (INTERSPEECH, 2014)

An evaluation of unsupervised acoustic model training for a dysarthric speech interface. - Oliver Walter; Vladimir Despotovic; Reinhold Haeb-Umbach; Jort F. Gemmeke; Bart Ons; Hugo Van hamme (INTERSPEECH, 2014)

Automatic assessment of children's reading with the FLaVoR decoding using a phone confusion model. - Emre Yilmaz 001; Joris Pelemans; Hugo Van hamme (INTERSPEECH, 2014)

Speech Recognition Web Services for Dutch. - Joris Pelemans; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (LREC, 2014)

Learning Like a Toddler: Watching Television Series to Learn Vocabulary from Images and Audio. - Emre Yilmaz 001; Konstantinos Rematas; Tinne Tuytelaars; Hugo Van hamme (ACM Multimedia, 2014)

GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification. - Najim Dehak; Oldrich Plchot; Mohamad Hasan Bahari; Lukás Burget; Hugo Van hamme; Réda Dehak (Odyssey, 2014)

Exemplar-based noise robust automatic speech recognition using modulation spectrogram features. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Tom Barker; Hugo Van hamme (SLT, 2014)

Dysarthric vocal interfaces with minimal training data. - Jort F. Gemmeke; Siddharth Sehgal; Stuart P. Cunningham; Hugo Van hamme (SLT, 2014)

Acquisition of ordinal words using weakly supervised NMF. - Vincent Renkens; Steven Janssens; Bart Ons; Jort F. Gemmeke; Hugo Van hamme (SLT, 2014)

Fast vocabulary acquisition in an NMF-based self-learning vocal user interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (Comput. Speech Lang., 2014)

Speaker age estimation using i-vectors. - Mohamad Hasan Bahari; Mitchell McLaren; Hugo Van hamme; David A. van Leeuwen (Eng. Appl. Artif. Intell., 2014)

The self-taught vocal interface. - Bart Ons; Jort F. Gemmeke; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2014)

Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition. - Mohamad Hasan Bahari; Najim Dehak; Hugo Van hamme; Lukás Burget; Ahmed Ali 002; Jim Glass 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Noise Robust Exemplar Matching Using Sparse Representations of Speech. - Emre Yilmaz 001; Jort Florent Gemmeke; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (EMBC, 2015)

Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries. - Deepak Baby; Hugo Van hamme (EUSIPCO, 2015)

Energy efficient monitoring of activities of daily living using wireless acoustic sensor networks in clean and noisy conditions. - Lode Vuegen; Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (EUSIPCO, 2015)

Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement. - Emre Yilmaz 001; Deepak Baby; Hugo Van hamme (EUSIPCO, 2015)

Adaptive noise dictionary design for noise robust exemplar matching of speech. - Emre Yilmaz 001; Hugo Van hamme; Jort F. Gemmeke (EUSIPCO, 2015)

Exemplar-based speech enhancement for deep neural network based automatic speech recognition. - Deepak Baby; Jort F. Gemmeke; Tuomas Virtanen; Hugo Van hamme (ICASSP, 2015)

Improving n-gram probability estimates by compound-head clustering. - Joris Pelemans; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (ICASSP, 2015)

Who's Speaking?: Audio-Supervised Classification of Active Speakers in Video. - Punarjay Chakravarty; Sayeh Mirzaei; Tinne Tuytelaars; Hugo Van hamme (ICMI, 2015)

Investigating modulation spectrogram features for deep neural network-based automatic speech recognition. - Deepak Baby; Hugo Van hamme (INTERSPEECH, 2015)

A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users. - Gert Dekkers; Toon van Waterschoot; Bart Vanrumste; Bert Van Den Broeck; Jort F. Gemmeke; Hugo Van hamme; Peter Karsmakers (INTERSPEECH, 2015)

Efficient language model adaptation for automatic speech recognition of spoken translations. - Joris Pelemans; Tom Vanallemeersch; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (INTERSPEECH, 2015)

Mutually exclusive grounding for weakly supervised non-negative matrix factorisation. - Vincent Renkens; Hugo Van hamme (INTERSPEECH, 2015)

Noise robust exemplar matching for speech enhancement: applications to automatic speech recognition. - Emre Yilmaz 001; Deepak Baby; Hugo Van hamme (INTERSPEECH, 2015)

Height estimation from speech signals using i-vectors and least-squares support vector regression. - Amir Hossein Poorjam; Mohamad Hasan Bahari; Vasileios Vasilakakis; Hugo Van hamme (TSP, 2015)

Two-stage blind audio source counting and separation of stereo instantaneous mixtures using Bayesian tensor factorisation. - Sayeh Mirzaei; Yaser Norouzi; Hugo Van hamme (IET Signal Process., 2015)

A stable approach for model order selection in nonnegative matrix factorization. - Meng Sun 001; Xiongwei Zhang; Hugo Van hamme (Pattern Recognit. Lett., 2015)

Blind audio source counting and separation of anechoic mixtures using the multichannel complex NMF framework. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (Signal Process., 2015)

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition. - Deepak Baby; Tuomas Virtanen; Jort F. Gemmeke; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Improving cross-domain n-gram language modelling with skipgrams. - Louis Onrust; Antal van den Bosch; Hugo Van hamme (ACL (2), 2016)

Supervised speech dereverberation in noisy environments using exemplar-based sparse representations. - Deepak Baby; Hugo Van hamme (ICASSP, 2016)

Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models. - Joris Pelemans; Tom Vanallemeersch; Kris Demuynck; Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (ICASSP, 2016)

Data selection for noise robust exemplar matching. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (ICASSP, 2016)

Active speaker detection with audio-visual co-training. - Punarjay Chakravarty; Jeroen Zegers; Tinne Tuytelaars; Hugo Van hamme (ICMI, 2016)

Joint Sound Source Separation and Speaker Recognition. - Jeroen Zegers; Hugo Van hamme (INTERSPEECH, 2016)

SCALE: A Scalable Language Engineering Toolkit. - Joris Pelemans; Lyan Verwimp; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (LREC, 2016)

Incrementally learn the relevance of words in a dictionary for spoken language acquisition. - Vincent Renkens; Vikrant Tomar; Hugo Van hamme (SLT, 2016)

Unsupervised Learning of Continuous Density HMM for Variable-Length Spoken Unit Discovery. - Meng Sun 001; Hugo Van hamme; Yimin Wang; Xiongwei Zhang (IEICE Trans. Inf. Syst., 2016)

Noise robust footstep location estimation using a wireless acoustic sensor network. - Bert Van Den Broeck; Peter Karsmakers; Hugo Van hamme; Bart Vanrumste (J. Ambient Intell. Smart Environ., 2016)

Under-determined reverberant audio source separation using Bayesian Non-negative Matrix Factorization. - Sayeh Mirzaei; Hugo Van hamme; Yaser Norouzi (Speech Commun., 2016)

Noise robust exemplar matching with alpha-beta divergence. - Emre Yilmaz 001; Jort F. Gemmeke; Hugo Van hamme (Speech Commun., 2016)

Unseen Noise Estimation Using Separable Deep Auto Encoder for Speech Enhancement. - Meng Sun 001; Xiongwei Zhang; Hugo Van hamme; Thomas Fang Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Character-Word LSTM Language Models. - Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (EACL (1), 2017)

Improving Source Separation via Multi-Speaker Representations. - Jeroen Zegers; Hugo Van hamme (INTERSPEECH, 2017)

Automatic Smoker Detection from Telephone Speech Signals. - Amir Hossein Poorjam; Soheila Hesaraki; Saeid Safavi 001; Hugo Van hamme; Mohamad Hasan Bahari (SPECOM, 2017)

Language Models of Spoken Dutch. - Lyan Verwimp; Joris Pelemans; Marieke Lycke; Hugo Van hamme; Patrick Wambacq (CoRR, 2017)

Automatic relevance determination for nonnegative dictionary learning in the gamma-Poisson model. - Vincent Renkens; Hugo Van hamme (Signal Process., 2017)

Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint. - Deepak Baby; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Weakly Supervised Learning of Hidden Markov Models for Spoken Language Acquisition. - Vincent Renkens; Hugo Van hamme (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Multi-Scenario Deep Learning for Multi-Speaker Source Separation. - Jeroen Zegers; Hugo Van hamme (ICASSP, 2018)

Capsule Networks for Low Resource Spoken Language Understanding. - Vincent Renkens; Hugo Van hamme (INTERSPEECH, 2018)

State Gradients for RNN Memory Analysis. - Lyan Verwimp; Hugo Van hamme; Vincent Renkens; Patrick Wambacq (INTERSPEECH, 2018)

Memory Time Span in LSTMs for Multi-Speaker Source Separation. - Jeroen Zegers; Hugo Van hamme (INTERSPEECH, 2018)

TF-LM: TensorFlow-based Language Modeling Toolkit. - Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (LREC, 2018)

The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision. - 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 (MMM (1), 2018)

Information-Weighted Neural Cache Language Models for ASR. - Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (SLT, 2018)

Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation. - Pieter Appeltans; Jeroen Zegers; Hugo Van hamme (INTERSPEECH, 2019)

CNN-LSTM Models for Multi-Speaker Source Separation Using Bayesian Hyper Parameter Optimization. - Jeroen Zegers; Hugo Van hamme (INTERSPEECH, 2019)

Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events. - Wim Boes; Hugo Van hamme (ACM Multimedia, 2019)

18μW SoC for near-microphone Keyword Spotting and Speaker Verification. - Juan Sebastian Piedrahita Giraldo; Steven Lauwereins; Komail M. H. Badami; Hugo Van hamme; Marian Verhelst (VLSI Circuits, 2019)

Robust Hierarchical Learning for Non-Negative Matrix Factorization With Outliers. - Yinan Li; Meng Sun 001; Hugo Van hamme; Xiongwei Zhang; Jibin Yang (IEEE Access, 2019)

Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. - Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Bart Ons; Walter Daelemans; Hugo Van hamme (CoRR, 2019)

Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks. - Sayeh Mirzaei; Hugo Van hamme; Shima Khosravani (Signal Process. Image Commun., 2019)

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)

Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network. - Bernd Accou; Mohammad Jalilpour-Monesi; Jair Montoya-Martínez; Hugo Van hamme; Tom Francart (EUSIPCO, 2020)

An LSTM Based Architecture to Relate Speech Stimulus to Eeg. - Mohammad Jalilpour-Monesi; Bernd Accou; Jair Montoya-Martínez; Tom Francart; Hugo Van hamme (ICASSP, 2020)

Multitask Learning with Capsule Networks for Speech-to-Intent Applications. - Jakob Poncelet; Hugo Van hamme (ICASSP, 2020)

Analysis of memory in LSTM-RNNs for source separation. - Jeroen Zegers; Hugo Van hamme (CoRR, 2020)

State gradients for analyzing memory in LSTM language models. - Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (Comput. Speech Lang., 2020)

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch. - Jakob Poncelet; Hugo Van hamme (ASRU, 2021)

Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection. - Wim Boes; Hugo Van hamme (Interspeech, 2021)

Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. - Mohammad Jalilpour-Monesi; Bernd Accou; Tom Francart; Hugo Van hamme (Interspeech, 2021)

Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-Encoders. - Jinzi Qi; Hugo Van hamme (Interspeech, 2021)

A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech. - Pu Wang 007; Bagher BabaAli; Hugo Van hamme (Interspeech, 2021)

A Light Transformer For Speech-To-Intent Applications. - Pu Wang 007; Hugo Van hamme (SLT, 2021)

An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR. - Aku Rouhe; Astrid Van Camp; Mittul Singh; Hugo Van hamme; Mikko Kurimo (SPECOM, 2021)

Pre-training for low resource speech-to-intent applications. - Pu Wang; Hugo Van hamme (CoRR, 2021)

Predicting speech intelligibility from EEG using a dilated convolutional network. - Bernd Accou; Mohammad Jalilpour-Monesi; Hugo Van hamme; Tom Francart (CoRR, 2021)

Low resource end-to-end spoken language understanding with capsule networks. - Jakob Poncelet; Vincent Renkens; Hugo Van hamme (Comput. Speech Lang., 2021)

Show me where the action is! - Timothy Callemein; Tom Roussel; Ali Diba; Floris De Feyter; Wim Boes; Luc Van Eycken; Luc Van Gool; Hugo Van hamme; Tinne Tuytelaars; Toon Goedemé (Multim. Tools Appl., 2021)

Cross-lingual Detection of Dysphonic Speech for Dutch and Hungarian Datasets. - Dávid Sztahó; Miklós Gábriel Tulics; Jinzi Qi; Hugo Van hamme; Klára Vicsi (BIOSIGNALS, 2022)

Impact of Temporal Resolution on Convolutional Recurrent Networks for Audio Tagging and Sound Event Detection. - Wim Boes; Hugo Van hamme (DCASE, 2022)

Continual Learning for Monolingual End-to-End Automatic Speech Recognition. - Steven Vander Eeckt; Hugo Van hamme (EUSIPCO, 2022)

Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders. - Lies Bollens; Tom Francart; Hugo Van hamme (ICASSP, 2022)

Multitask Learning for Low Resource Spoken Language Understanding. - Quentin Meeus; Marie-Francine Moens; Hugo Van hamme (INTERSPEECH, 2022)

Relating the fundamental frequency of speech with EEG using a dilated convolutional network. - Corentin Puffay; Jana Van Canneyt; Jonas Vanthornhout; Hugo Van hamme; Tom Francart (INTERSPEECH, 2022)

Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications. - Bastiaan Tamm; Helena Balabin; Rik Vandenberghe; Hugo Van hamme (INTERSPEECH, 2022)

Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding. - Pu Wang 007; Hugo Van hamme (INTERSPEECH, 2022)

A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing. - Wei Liu 005; Meng Sun 001; Xiongwei Zhang; Hugo Van hamme; Thomas Fang Zheng (Odyssey, 2022)

Learning to Jointly Transcribe and Subtitle for End-To-End Spontaneous Speech Recognition. - Jakob Poncelet; Hugo Van hamme (SLT, 2022)

Weak-Supervised Dysarthria-Invariant Features for Spoken Language Understanding Using an Fhvae and Adversarial Training. - Jinzi Qi; Hugo Van hamme (SLT, 2022)

Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding. - Pu Wang; Hugo Van hamme (CoRR, 2022)

Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Multi-Source Transformer Architectures for Audiovisual Scene Classification. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Impact of visual assistance for automated audio captioning. - Wim Boes; Hugo Van hamme (CoRR, 2022)

Bidirectional Representations for Low Resource Spoken Language Understanding. - Quentin Meeus; Marie-Francine Moens; Hugo Van hamme (CoRR, 2022)

Multi-encoder attention-based architectures for sound recognition with partial visual assistance. - Wim Boes; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2022)

Whisper-Slu: Extending a Pretrained Speech-to-Text Transformer for Low Resource Spoken Language Understanding. - Quentin Meeus; Marie-Francine Moens; Hugo Van hamme (ASRU, 2023)

ICASSP 2023 Auditory EEG Decoding Challenge. - Lies Bollens; Mohammad Jalilpour-Monesi; Bernd Accou; Jonas Vanthornhout; Hugo Van hamme; Tom Francart (ICASSP, 2023)

Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition. - Steven Vander Eeckt; Hugo Van hamme (ICASSP, 2023)

Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition. - Steven Vander Eeckt; Hugo Van hamme (ICASSP, 2023)

Cross-Lingual Transfer Learning for Alzheimer's Detection from Spontaneous Speech. - Bastiaan Tamm; Rik Vandenberghe; Hugo Van hamme (ICASSP, 2023)

Rehearsal-Free Online Continual Learning for Automatic Speech Recognition. - Steven Vander Eeckt; Hugo Van hamme (INTERSPEECH, 2023)

Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation. - Jinzi Qi; Hugo Van hamme (INTERSPEECH, 2023)

Analysis of XLS-R for Speech Quality Assessment. - Bastiaan Tamm; Rik Vandenberghe; Hugo Van hamme (WASPAA, 2023)

Relating EEG to continuous speech using deep neural networks: a review. - Corentin Puffay; Bernd Accou; Lies Bollens; Mohammad Jalilpour-Monesi; Jonas Vanthornhout; Hugo Van hamme; Tom Francart (CoRR, 2023)

Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech. - Pu Wang 007; Hugo Van hamme (EURASIP J. Audio Speech Music. Process., 2023)

Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework. - Pieter De Clercq; Corentin Puffay; Jill Kries; Hugo Van hamme; Maaike Vandermosten; Tom Francart; Jonas Vanthornhout (EMBC, 2024)

Unsupervised Accent Adaptation Through Masked Language Model Correction of Discrete Self-Supervised Speech Units. - Jakob Poncelet; Hugo Van hamme (ICASSP, 2024)

Reading Proficiency Assessment Using Finite-State Transducers. - Gloria Maria Montoya Gomez; Pol Ghesquière; Hugo Van hamme (ICETC, 2024)

Automatic recognition and detection of aphasic natural speech. - Mara Barberis; Pieter De Clercq; Bastiaan Tamm; Hugo Van hamme; Maaike Vandermosten (INTERSPEECH, 2024)

Unsupervised Online Continual Learning for Automatic Speech Recognition. - Steven Vander Eeckt; Hugo Van hamme (INTERSPEECH, 2024)

Efficient Extraction of Noise-Robust Discrete Units from Self-Supervised Speech Models. - Jakob Poncelet; Yujun Wang; Hugo Van hamme (SLT, 2024)

MSNER: A Multilingual Speech Dataset for Named Entity Recognition. - Quentin Meeus; Marie-Francine Moens; Hugo Van hamme (CoRR, 2024)

Scale-aware dual-branch complex convolutional recurrent network for monaural speech enhancement. - Yihao Li; Meng Sun 001; Xiongwei Zhang; Hugo Van hamme (Comput. Speech Lang., 2024)

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. - Bernd Accou; Lies Bollens; Marlies Gillis; Wendy Verheijen; Hugo Van hamme; Tom Francart (Data, 2024)

Self-Incremental Training for Personalized Voice Command Recognition in a Wireless Audio Sensor Network. - Manuele Rusci; Hugo Van hamme; Tinne Tuytelaars (ICASSP, 2025)

Disentangled-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation. - Pu Wang 007; Hugo Van hamme (IPAS, 2025)

Continual Learning With Quasi-Newton Methods. - Steven Vander Eeckt; Hugo Van hamme (IEEE Access, 2025)

Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and Subtitling. - Jakob Poncelet; Hugo Van hamme (CoRR, 2025)