Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets (2024)
- Authors:
- USP affiliated authors: PONTI, MOACIR ANTONELLI - ICMC ; MATOS, ARIADNE NASCIMENTO - ICMC ; ARAÚJO, GUSTAVO EVANGELISTA - ICMC
- Unidade: ICMC
- Subjects: SÍNTESE DE FALA; PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL; PROSÓDIA; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Conference on Computational Processing of Portuguese - PROPOR
-
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: 14 fev. 2026. -
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-1.37 -
NLM
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 2026 fev. 14 ] Available from: https://aclanthology.org/2024.propor-1.37 -
Vancouver
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 2026 fev. 14 ] Available from: https://aclanthology.org/2024.propor-1.37 - Classificação de Variações Linguísticas do Português do Brasil por meio da Fala
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