As end-to-end automatic speech recognition (ASR) models reach promising
...
Confidence scores are very useful for downstream applications of automat...
End-to-end models with auto-regressive decoders have shown impressive re...
We study the problem of word-level confidence estimation in subword-base...
For various speech-related tasks, confidence scores from a speech recogn...
This paper proposes a novel method for supervised data clustering. The
c...
This paper proposes a novel automatic speech recognition (ASR) framework...
The standard approach to assess reliability of automatic speech
transcri...
The standard approach to mitigate errors made by an automatic speech
rec...