Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PROSÓDIA, PORTUGUÊS DO BRASIL
ABNT
MATOS, Ariadne Nascimento et al. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.37. Acesso em: 10 set. 2024.APA
Matos, A. N., Araújo, G. E., Candido Junior, A., & Ponti, M. A. (2024). Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.37NLM
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 set. 10 ] Available from: https://aclanthology.org/2024.propor-1.37Vancouver
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 set. 10 ] Available from: https://aclanthology.org/2024.propor-1.37