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In this work, we propose minimum Bayes risk (MBR) training of RNN-Transducer (RNN-T) for end-to-end speech recognition.
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2019
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2019
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2019
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C.-F. Yeh, J. Mahadeokar, K. Kalgaonkar, Y. Wang, D. Le, M. Jain, K. Schubert, C. Fuegen, and M. L. Seltzer, “Transformer-transducer: End-to-end speech recognition with self-attention,” 2019
2019
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Z. You, D. Su, J. Chen, C. Weng, and D. Yu, “Dfsmn-san with persistent memory model for automatic speech recognition,” 2019
2019
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