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Hugo Van hamme
Professor
KU Leuven, Belgium
Latest
Automated speech analysis to improve TMS-based language mapping: Algorithm and proof of concept
Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint
Supervised Speech Dereverberation in Noisy Environments using Exemplar-based Sparse Representations
Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition
Investigating Modulation Spectrogram Features for Deep Neural Network-Based Automatic Speech Recognition
Noise Robust Exemplar Matching for Speech Enhancement: Applications to Automatic Speech Recognition
Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries
Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement
Exemplar-based speech enhancement for deep neural network based automatic speech recognition
Exemplar-based noise robust automatic speech recognition using modulation spectrogram features
Coupled dictionary training for exemplar-based speech enhancement
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