Masked Language Models (MLMs) have proven to be effective for second-pas...
End-to-end ASR models trained on large amount of data tend to be implici...
Semi-parametric Nearest Neighbor Language Models (kNN-LMs) have produced...
End-to-end speech recognition models trained using joint Connectionist
T...
Accurate recognition of slot values such as domain specific words or nam...
Neural Language Models (NLM), when trained and evaluated with context
sp...
While there have been several contributions exploring state of the art
t...
In this work, we explore a multimodal semi-supervised learning approach ...
Automatic speech recognition (ASR) systems in the medical domain that fo...
Automatic speech recognition (ASR) systems in the medical domain that fo...