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Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models.

, , , , , , and . ICASSP, page 4839-4843. IEEE, (2018)

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Streaming End-to-end Speech Recognition for Mobile Devices., , , , , , , , , and 10 other author(s). ICASSP, page 6381-6385. IEEE, (2019)On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition., , , , , and . INTERSPEECH, page 3800-3804. ISCA, (2019)A Comparison of End-to-End Models for Long-Form Speech Recognition., , , , , , , , , and 4 other author(s). ASRU, page 889-896. IEEE, (2019)Deep Context: End-to-end Contextual Speech Recognition., , , , and . SLT, page 418-425. IEEE, (2018)A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , and 18 other author(s). ICASSP, page 6059-6063. IEEE, (2020)Smart Reply: Automated Response Suggestion for Email, , , , , , , , , and 1 other author(s). (2016)cite arxiv:1606.04870Comment: Accepted to KDD 2016.Slide Gestalt: Automatic Structure Extraction in Slide Decks for Non-Visual Access., , , , and . CHI, page 829:1-829:14. ACM, (2023)An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model., , , , , and . ICASSP, page 5824-5828. IEEE, (2018)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , and 81 other author(s). (2019)cite arxiv:1902.08295.iSchedule to Personalize Learning., , and . Interfaces, 42 (5): 437-448 (2012)