Patrick Wambacq
Patrick Wambacq
Geverifieerd e-mailadres voor esat.kuleuven.be
Geciteerd door
Geciteerd door
Speckle filtering of synthetic aperture radar images: A review
JS Lee, L Jurkevich, P Dewaele, P Wambacq, A Oosterlinck
Remote sensing reviews 8 (4), 313-340, 1994
Template-based continuous speech recognition
M De Wachter, M Matton, K Demuynck, P Wambacq, R Cools, ...
IEEE Transactions on Audio, Speech, and Language Processing 15 (4), 1377-1390, 2007
A review of signal subspace speech enhancement and its application to noise robust speech recognition
K Hermus, P Wambacq, H Van Hamme
EURASIP journal on advances in signal processing 2007, 1-15, 2006
Comparison of some speckle reduction techniques for SAR images
P Dewaele, P Wambacq, A Oosterlinck, JL Marchand
Proceedings 10th annual international geoscience & remote sensing symposium …, 1990
SPRAAK: an open source ‘SPeech Recognition and Automatic Annotation Kit’
K Demuynck, J Roelens, D Van Compernolle, P Wambacq
Proceedings Interspeech2008-9th annual conference of the International …, 2008
Development and application of computer vision systems for use in livestock production
E Van der Stuyft, CP Schofield, JM Randall, P Wambacq, V Goedseels
Computers and Electronics in Agriculture 6 (3), 243-265, 1991
An efficient search space representation for large vocabulary continuous speech recognition
K Demuynck, J Duchateau, D Van Compernolle, P Wambacq
Speech communication 30 (1), 37-53, 2000
Data driven example based continuous speech recognition
M De Wachter, K Demuynck, D Van Compernolle, P Wambacq
8th European conference on speech communication and technology-Eurospeech …, 2003
Coping with disfluencies in spontaneous speech recognition: Acoustic detection and linguistic context manipulation
F Stouten, J Duchateau, JP Martens, P Wambacq
Speech communication 48 (11), 1590-1606, 2006
Perceptual audio modeling with exponentially damped sinusoids
K Hermus, W Verhelst, P Lemmerling, P Wambacq, S Van Huffel
Signal processing 85 (1), 163-176, 2005
Extracting, modelling and combining information in speech recognition
K Demuynck
Character-word LSTM language models
L Verwimp, J Pelemans, P Wambacq
arXiv preprint arXiv:1704.02813, 2017
Model-based feature enhancement with uncertainty decoding for noise robust ASR
V Stouten, P Wambacq
Speech communication 48 (11), 1502-1514, 2006
Image enhancement and analysis with reaction-diffusion paradigm
CB Price, P Wambacq, A Oosterlinck
IEE Proceedings I (Communications, Speech and Vision) 137 (3), 136-145, 1990
Assessment of signal subspace based speech enhancement for noise robust speech recognition
K Hermus, P Wambacq
2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004
Component labeling on a MIMD multiprocessor
H Embrechts, D Roose, P Wambacq
CVGIP: Image Understanding 57 (2), 155-165, 1993
Sensor for weed detection based on spectral measurements
F Feyaerts, P Pollet, L Van Gool, P Wambacq
Proceedings of the Fourth International Conference on Precision Agriculture …, 1999
The ESAT 2008 system for N-Best Dutch speech recognition benchmark
K Demuynck, A Puurula, D Van Compernolle, P Wambacq
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 339-344, 2009
Confidence scoring based on backward language models
J Duchateau, K Demuynck, P Wambacq
Proceedings IEEE international conference on acoustics, speech, and signal …, 2002
Improved feature decorrelation for HMM-based speech recognition
K Demuynck, J Duchateau, D Van Compernolle, P Wambacq
Proceedings 5th international conference on spoken language processing-ICSLP …, 1998
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