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Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion.

, , and . ICASSP, page 7789-7793. IEEE, (2020)

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Improving Performance of End-to-End ASR on Numeric Sequences., , , and . INTERSPEECH, page 2185-2189. ISCA, (2019)A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , and 19 other author(s). CoRR, (2020)Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion., , and . ICASSP, page 7789-7793. IEEE, (2020)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)Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus., , , , , and . INTERSPEECH, page 4921-4925. ISCA, (2020)Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition., , , , , and . INTERSPEECH, page 689-693. ISCA, (2022)Improving Rare Word Recognition with LM-aware MWER Training., , , , , , , , , and 3 other author(s). INTERSPEECH, page 1031-1035. ISCA, (2022)Dual Learning for Large Vocabulary On-Device ASR., , , , , and . CoRR, (2023)Dual Learning for Large Vocabulary On-Device ASR., , , , , and . SLT, page 245-251. IEEE, (2022)E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)