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Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models.

, , , , and . INTERSPEECH, page 2155-2159. ISCA, (2019)

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Contextual Speech Recognition with Difficult Negative Training Examples., , and . CoRR, (2018)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , and 81 other author(s). (2019)cite arxiv:1902.08295.A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , and 19 other author(s). CoRR, (2020)Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition., , , and . ICASSP, page 6171-6175. IEEE, (2019)SLM: Bridge the thin gap between speech and text foundation models., , , , , , , , , and 8 other author(s). CoRR, (2023)Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition., , , , , , , , and . INTERSPEECH, page 892-896. ISCA, (2018)Lower Frame Rate Neural Network Acoustic Models., and . INTERSPEECH, page 22-26. ISCA, (2016)Toward Domain-Invariant Speech Recognition via Large Scale Training., , , , , , , , and . SLT, page 441-447. IEEE, (2018)Highway-LSTM and Recurrent Highway Networks for Speech Recognition., and . INTERSPEECH, page 1303-1307. ISCA, (2017)SLM: Bridge the Thin Gap Between Speech and Text Foundation Models., , , , , , , , , and 6 other author(s). ASRU, page 1-8. IEEE, (2023)