With the rapid increase in the size of neural networks, model compressio...
As end-to-end automatic speech recognition (ASR) models reach promising
...
Self- and semi-supervised learning methods have been actively investigat...
Confidence scores are very useful for downstream applications of automat...
We study the problem of word-level confidence estimation in subword-base...
For various speech-related tasks, confidence scores from a speech recogn...
In this paper, we present a local information theoretic approach to
expl...