As the computational requirements for machine learning systems and the s...
Recently, self-supervised learning methods like MoCo, SimCLR, BYOL and S...
Existing work in translation demonstrated the potential of massively
mul...
We study training a single acoustic model for multiple languages with th...
Many semi- and weakly-supervised approaches have been investigated for
o...
We design an online end-to-end speech recognition system based on Time-D...
We introduce a new collection of spoken English audio suitable for train...
We study ResNet-, Time-Depth Separable ConvNets-, and Transformer-based
...
This paper introduces wav2letter++, the fastest open-source deep learnin...
Current state-of-the-art speech recognition systems build on recurrent n...
Transcribed datasets typically contain speaker identity for each instanc...
In this paper we introduce a new speech recognition system, leveraging a...