21 citations · 60 across the 24 of their papers we have counts for
31 papers
Multitask Learning for Low Resource Spoken Language Understanding
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
We explore the benefits that multitask learning offer to speech processing as we train models on dual objectives with automatic speech recognition and intent classification or sent…
Weak-Supervised Dysarthria-invariant Features for Spoken Language Understanding using an FHVAE and Adversarial Training
Jinzi Qi, Hugo Van hamme
The scarcity of training data and the large speaker variation in dysarthric speech lead to poor accuracy and poor speaker generalization of spoken language understanding systems fo…
Multi-Source Transformer Architectures for Audiovisual Scene Classification
Wim Boes, Hugo Van hamme
In this technical report, the systems we submitted for subtask 1B of the DCASE 2021 challenge, regarding audiovisual scene classification, are described in detail. They are essenti…
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection
Wim Boes, Hugo Van hamme
In this technical report, the systems we submitted for subtask 4 of the DCASE 2021 challenge, regarding sound event detection, are described in detail. These models are closely rel…
Learning to Jointly Transcribe and Subtitle for End-to-End Spontaneous Speech Recognition
Jakob Poncelet, Hugo Van hamme
TV subtitles are a rich source of transcriptions of many types of speech, ranging from read speech in news reports to conversational and spontaneous speech in talk shows and soaps.…
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications
Bastiaan Tamm, Helena Balabin, Rik Vandenberghe +1
Speech quality in online conferencing applications is typically assessed through human judgements in the form of the mean opinion score (MOS) metric. Since such a labor-intensive a…