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Sequence-to-sequence Neural Network Model with 2D Attention for Learning Japanese Pitch Accents., , and . INTERSPEECH, page 1284-1287. ISCA, (2018)On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition., , , , , and . INTERSPEECH, page 3800-3804. ISCA, (2019)Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models., , , , and . INTERSPEECH, page 2155-2159. ISCA, (2019)Algorithmic Exploration of American English Dialects., , , and . ICASSP, page 7374-7378. IEEE, (2020)Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Neural-FST Class Language Model for End-to-End Speech Recognition., , , , , , , , , and . ICASSP, page 6107-6111. IEEE, (2022)Efficient Cascaded Streaming ASR System Via Frame Rate Reduction., , , , , , , , and . ASRU, page 1-8. IEEE, (2023)Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR., , , and . SLT, page 38-45. IEEE, (2022)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)Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction., , and . INTERSPEECH, page 3733-3737. ISCA, (2018)