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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
Deliberation Model Based Two-Pass End-to-End Speech Recognition
Ke Hu, Tara N. Sainath, Ruoming Pang +1
End-to-end (E2E) models have made rapid progress in automatic speech recognition (ASR) and perform competitively relative to conventional models. To further improve the quality, a…