most citedLearning Word-Level Confidence For Subword End-to-End ASR

2 citations · 2 across the 1 of their papers we have counts for

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3 papers

eess.AS2021

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction

David Qiu, Yanzhang He, Qiujia Li +3

Confidence scores are very useful for downstream applications of automatic speech recognition (ASR) systems. Recent works have proposed using neural networks to learn word or utter…

eess.AS2021★ 2 cited

Learning Word-Level Confidence For Subword End-to-End ASR

David Qiu, Qiujia Li, Yanzhang He +9

We study the problem of word-level confidence estimation in subword-based end-to-end (E2E) models for automatic speech recognition (ASR). Although prior works have proposed trainin…

eess.AS2020

Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition

Qiujia Li, David Qiu, Yu Zhang +5

For various speech-related tasks, confidence scores from a speech recogniser are a useful measure to assess the quality of transcriptions. In traditional hidden Markov model-based…