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English Information

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Authors
# Name
1 Yanna Gonçalves(yannatorres@alu.ufc.br)
2 João Alves(joaovba2002@alu.ufc.br)
3 Breno Sá(brenoalef@insightlab.ufc.br)
4 Lázaro Silva(lazaronathanaell@alu.ufc.br)
5 José Macedo(jose.macedo@dc.ufc.br )
6 Ticiana Coelho da Silva(ticianalc@insightlab.ufc.br)

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Reference
# Reference
1 Baevski, A., Zhou, Y., Mohamed, A., and Auli, M. (2020). wav2vec 2.0: A framework for self-supervised learning of speech representations. In NeurIPS, pages 12449–12460.
2 Besacier, L., Barnard, E., Karpov, A., and Schultz, T. (2014). Automatic speech recognition for under-resourced languages: A survey. Speech Communication, 56:85–100.
3 da Silva, T. L. C., Magalhães, R. P., de Macêdo, J. A., Araújo, D., Araújo, N., de Melo, V. T., Olímpio, P., Rego, P. A., and Neto, A. V. L. (2019). Improving named entity recognition using deep learning with human in the loop. In EDBT, pages 594–597.
4 Gür, B. (2012). Improving speech recognition accuracy for clinical conversations. PhD thesis, Massachusetts Institute of Technology.
5 Heafield, K. (2011). Kenlm: Faster and smaller language model queries. In Proceedings of the sixth workshop on statistical machine translation, pages 187–197.
6 Li, J., Lavrukhin, V., Ginsburg, B., Leary, R., Kuchaiev, O., Cohen, J. M., Nguyen, H., and Gadde, R. T. (2019). Jasper: An End-to-End Convolutional Neural Acoustic Model. In Proc. Interspeech 2019, pages 71–75. ISCA.
7 Li, Y., Yu, B., Quangang, L., and Liu, T. (2021). Fitannotator: A flexible and intelligent text annotation system. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, pages 35–41.
8 Radford, A., Kim, J. W., Xu, T., Brockman, G., McLeavey, C., and Sutskever, I. (2023). Robust speech recognition via large-scale weak supervision. In ICML, pages 28492–28518.
9 Rubenstein, P. K., Asawaroengchai, C., Nguyen, D. D., Bapna, A., Borsos, Z., Quitry, F. d. C., Chen, P., Badawy, D. E., Han, W., Kharitonov, E., et al. (2023). Audiopalm: A large language model that can speak and listen. arXiv preprint arXiv:2306.12925.
10 Schneider, S., Baevski, A., Collobert, R., and Auli, M. (2019). wav2vec: Unsupervised pre-training for speech recognition. In Interspeech 2019, pages 3465–3469.
11 Stolcke, A. (2002). Srilm-an extensible language modeling toolkit. In Seventh international conference on spoken language processing.
12 Sullivan, P., Shibano, T., and Abdul-Mageed, M. (2022). Improving automatic speech recognition for non-native english with transfer learning and language model decoding. In AANLSP, pages 21–44.