5 citations · 6 across the 4 of their papers we have counts for
5 papers
Selective Lookahead for Attention-Based Streaming ASR
Yichen Jia, Bastiaan Tamm, Hugo Van hamme
End-to-end attention-based speech recognition is accurate offline but hard to stream: outputs can depend on future audio, and a little future context per layer makes the lookahead…
Automatic recognition and detection of aphasic natural speech
Mara Barberis, Pieter De Clercq, Bastiaan Tamm +2
Aphasia is a language disorder affecting one third of stroke patients. Current aphasia assessment does not consider natural speech due to the time consuming nature of manual transc…
Analysis of XLS-R for Speech Quality Assessment
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
In online conferencing applications, estimating the perceived quality of an audio signal is crucial to ensure high quality of experience for the end user. The most reliable way to…
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech
Bastiaan Tamm, Rik Vandenberghe, Hugo Van hamme
Alzheimer's disease (AD) is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline. With the aging population, there has been much…
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…