Karel Benes

Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems

End-to-end (e2e) systems have recently gained wide popularity in automatic speech recognition. However, these systems do generally not provide well-calibrated word-level confidences. In this paper, we propose Hystoc, a simple method for obtaining word-level confidences from hypothesis-level scores.…