Regularized Forward-Backward Decoder for Attention Models-Reference-Cited by-同舟云学术

Regularized Forward-Backward Decoder for Attention Models

Published:2021 Issue: Volume: Page:786-794
ISSN:0302-9743
Container-title:Speech and Computer
language:
Short-container-title:

Author:

Watzel Tobias^ORCID,Kürzinger Ludwig^ORCID,Li Lujun^ORCID,Rigoll Gerhard^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87802-3_70

Reference20 articles.

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3. Chan, W., Jaitly, N., Le, Q., Vinyals, O.: Listen, attend and spell: a neural network for large vocabulary conversational speech recognition. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4960–4964. IEEE (2016)

4. Chiu, C.C., et al.: State-of-the-art speech recognition with sequence-to-sequence models. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4774–4778. IEEE (2018)

5. Chorowski, J., Bahdanau, D., Cho, K., Bengio, Y.: End-to-end continuous speech recognition using attention-based recurrent NN: first results. arXiv preprint arXiv:1412.1602 (2014)

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