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Deep Shallow Fusion for RNN-T Personalization., , , , , and . CoRR, (2020)Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition., , , , , , and . CoRR, (2020)Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion., , , , , , , , , and 2 other author(s). Interspeech, page 1772-1776. ISCA, (2021)Deep Shallow Fusion for RNN-T Personalization., , , , , and . SLT, page 251-257. IEEE, (2021)Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR., , , , , , , , , and 1 other author(s). SLT, page 46-51. IEEE, (2021)Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition., , , , , , and . SLT, page 8-14. IEEE, (2021)On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models., , , , , , , , , and . CoRR, (2021)Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency., , , , , , , , , and 2 other author(s). Interspeech, page 2042-2046. ISCA, (2021)Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications., , , , , , and . ICASSP, page 6778-6782. IEEE, (2021)Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR., , , , , , , , , and 1 other author(s). CoRR, (2020)