In this work, we explore recurrent neural network architectures for
tube...
We present a deep learning based automatic cough classifier which can
di...
We present a machine learning based long-term cough monitoring system by...
Documents containing mathematical content remain largely inaccessible to...
We present 'wake-cough', an application of wake-word spotting to coughs ...
We present an automatic non-invasive way of detecting cough events based...
We present an experimental investigation into the automatic detection of...
We present first results showing that it is possible to automatically
di...
We have performed cough detection based on measurements from an accelero...
We present a machine learning based COVID-19 cough classifier which is a...
In this work, we explore the benefits of using multilingual bottleneck
f...
This paper reports on the semi-supervised development of acoustic and
la...
We present improvements in automatic speech recognition (ASR) for Somali...
This paper presents recent progress in the acoustic modelling of
under-r...
An approach to the estimation of the Direction of Arrival (DOA) of wide-...
We compare features for dynamic time warping based keyword spotting in a...
Agglomerative hierarchical clustering (AHC) requires only the similarity...
Dynamic time warping (DTW) can be used to compute the similarity between...
We present our first efforts towards building a single multilingual auto...
We present our first efforts in building an automatic speech recognition...
We consider multilingual bottleneck features (BNFs) for nearly zero-reso...
We use dynamic time warping (DTW) as supervision for training a convolut...