Achieving super-human performance in recognizing human speech has been a...
This paper is an ELITR system submission for the non-native speech
trans...
Transformer models are powerful sequence-to-sequence architectures that ...
Recently sequence-to-sequence models have started to achieve state-of-th...
User studies have shown that reducing the latency of our simultaneous le...
In the area of multi-domain speech recognition, research in the past foc...
Sequence-to-Sequence (S2S) models recently started to show state-of-the-...
Recently, end-to-end sequence-to-sequence models for speech recognition ...
In this work, we learn a shared encoding representation for a multi-task...
Acoustic-to-word (A2W) models that allow direct mapping from acoustic si...