10 citations · 16 across the 9 of their papers we have counts for
3 papers · 1 filter
Towards localisation of keywords in speech using weak supervision
Kayode Olaleye, Benjamin van Niekerk, Herman Kamper
Developments in weakly supervised and self-supervised models could enable speech technology in low-resource settings where full transcriptions are not available. We consider whethe…
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks
Herman Kamper, Benjamin van Niekerk
We investigate segmenting and clustering speech into low-bitrate phone-like sequences without supervision. We specifically constrain pretrained self-supervised vector-quantized (VQ…
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…