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Model Unit Exploration for Sequence-to-Sequence Speech Recognition., , , , , and . CoRR, (2019)A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency., , , , , , , , , and 19 other author(s). CoRR, (2020)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling., , , , , , , , , and 81 other author(s). CoRR, (2019)Improving The Latency And Quality Of Cascaded Encoders., , , , , , , , , and 15 other author(s). ICASSP, page 8112-8116. IEEE, (2022)Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging., , , , , , and . ICASSP, page 5659-5663. IEEE, (2021)Recognizing Long-Form Speech Using Streaming End-to-End Models., , , , , and . ASRU, page 920-927. IEEE, (2019)A Hybrid Seq-2-Seq ASR Design for On-Device and Server Applications., , , , and . Interspeech, page 4044-4048. ISCA, (2021)Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search., , , , and . INTERSPEECH, page 2227-2231. ISCA, (2018)On Adaptive Weight Interpolation of the Hybrid Autoregressive Transducer., , , , , and . INTERSPEECH, page 1646-1650. ISCA, (2022)Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging., , , , , , and . CoRR, (2020)