activity
20182022
most citedFeature learning for efficient ASR-free keyword spotting in low-resource languages

17 citations · 28 across the 7 of their papers we have counts for

collaborators

18 papers

cs.HC2022

Mathematical Content Browsing for Print-Disabled Readers Based on Virtual-World Exploration and Audio-Visual Sensory substitution

Rynhardt Kruger, Febe de Wet, Thomas Niesler

Documents containing mathematical content remain largely inaccessible to blind and visually impaired readers because they are predominantly published as untagged PDF which does not…

eess.AS202117 cited

Feature learning for efficient ASR-free keyword spotting in low-resource languages

Ewald van der Westhuizen, Herman Kamper, Raghav Menon +2

We consider feature learning for efficient keyword spotting that can be applied in severely under-resourced settings. The objective is to support humanitarian relief programmes by…

eess.AS2021

Multilingual training set selection for ASR in under-resourced Malian languages

Ewald van der Westhuizen, Trideba Padhi, Thomas Niesler

We present first speech recognition systems for the two severely under-resourced Malian languages Bambara and Maasina Fulfulde. These systems will be used by the United Nations as…

eess.AS2021

A Hybrid CNN-BiLSTM Voice Activity Detector

Nicholas Wilkinson, Thomas Niesler

This paper presents a new hybrid architecture for voice activity detection (VAD) incorporating both convolutional neural network (CNN) and bidirectional long short-term memory (BiL…

eess.AS20203 cited

Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages

Trideba Padhi, Astik Biswas, Febe De Wet +2

In this work, we explore the benefits of using multilingual bottleneck features (mBNF) in acoustic modelling for the automatic speech recognition of code-switched (CS) speech in Af…

eess.AS20207 cited

Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech

N. Wilkinson, A. Biswas, E. Yılmaz +3

This paper considers the impact of automatic segmentation on the fully-automatic, semi-supervised training of automatic speech recognition (ASR) systems for five-lingual code-switc…