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CAT: A CTC-CRF Based ASR Toolkit Bridging the Hybrid and the End-to-End Approaches Towards Data Efficiency and Low Latency.

, , and . INTERSPEECH, page 566-570. ISCA, (2020)

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Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients., , and . CoRR, (2020)CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR., , , , , and . INTERSPEECH, page 2103-2107. ISCA, (2022)The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines., , , , , , , , and . CoRR, (2020)Efficient Neural Architecture Search for End-to-End Speech Recognition Via Straight-Through Gradients., , and . SLT, page 60-67. IEEE, (2021)Deformable TDNN with Adaptive Receptive Fields for Speech Recognition., , and . Interspeech, page 2067-2071. ISCA, (2021)Exploiting Single-Channel Speech for Multi-Channel End-to-End Speech Recognition: A Comparative Study., , and . ISCSLP, page 180-184. IEEE, (2022)Paraformer-v2: An improved non-autoregressive transformer for noise-robust speech recognition., , , and . CoRR, (2024)The SLT 2021 Children Speech Recognition Challenge: Open Datasets, Rules and Baselines., , , , , , , , and . SLT, page 1117-1123. IEEE, (2021)An Empirical Study of Language Model Integration for Transducer based Speech Recognition., , , , , and . INTERSPEECH, page 3904-3908. ISCA, (2022)Are Transformers in Pre-trained LM A Good ASR Encoder? An Empirical Study., , and . CoRR, (2024)