Transformers in Automatic Speech Recognition

Author:

Evrard MarcORCID

Publisher

Springer International Publishing

Reference49 articles.

1. Auli, M.: Wav2vec: self-supervised learning of speech representations. Talk at MIT, CMU, U of Edinburgh, Spring 2021 (2021)

2. Baevski, A., Schneider, S., Auli, M.: VQ-wav2vec: self-supervised learning of discrete speech representations. In: International Conference on Learning Representations (2019)

3. Baevski, A., Zhou, Y., Mohamed, A., Auli, M.: Wav2vec 2.0: a framework for self-supervised learning of speech representations. In: Advances in Neural Information Processing Systems, vol. 33, pp. 12449–12460 (2020)

4. Bello, I., Zoph, B., Vaswani, A., Shlens, J., Le, Q.V.: Attention augmented convolutional networks. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 3286–3295 (2019)

5. 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)

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