17 citations · 28 across the 7 of their papers we have counts for
4 papers · 1 filter
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training
Astik Biswas, Raghav Menon, Ewald van der Westhuizen +1
We present improvements in automatic speech recognition (ASR) for Somali, a currently extremely under-resourced language. This forms part of a continuing United Nations (UN) effort…
Semi-supervised acoustic model training for five-lingual code-switched ASR
Astik Biswas, Emre Yılmaz, Febe de Wet +2
This paper presents recent progress in the acoustic modelling of under-resourced code-switched (CS) speech in multiple South African languages. We consider two approaches. The firs…
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
Ryan Eloff, André Nortje, Benjamin van Niekerk +7
For our submission to the ZeroSpeech 2019 challenge, we apply discrete latent-variable neural networks to unlabelled speech and use the discovered units for speech synthesis. Unsup…
Building a Unified Code-Switching ASR System for South African Languages
Emre Yılmaz, Astik Biswas, Ewald van der Westhuizen +2
We present our first efforts towards building a single multilingual automatic speech recognition (ASR) system that can process code-switching (CS) speech in five languages spoken w…