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Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss.

, , , , , , and . ICASSP, page 7829-7833. IEEE, (2020)

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Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk., and . NNSP, page 415-424. IEEE, (2002)Minimum classification error training of landmark models for real-time continuous speech recognition., and . ICASSP (1), page 937-940. IEEE, (2004)A derivation of minimum classification error from the theoretical classification risk using Parzen estimation., and . Comput. Speech Lang., 18 (2): 107-122 (2004)A hybrid speech recognition system using HMMs with an LVQ-trained codebook., , , and . ICASSP, page 489-492. IEEE, (1990)Prototype-based discriminative training for various speech units., and . ICASSP, page 417-420. IEEE Computer Society, (1992)Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm., , and . ICASSP, page 553-556. IEEE Computer Society, (1991)A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent., , and . ICASSP, page 3346-3349. IEEE Computer Society, (1996)Efficient normalization based upon GPD generalized probabilistic descent., , , and . ICASSP, page 3245-3248. IEEE Computer Society, (1997)Sampled Connectionist Temporal Classification., , , , and . ICASSP, page 4959-4963. IEEE, (2018)Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss., , , , , , and . ICASSP, page 7829-7833. IEEE, (2020)