Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, SÍNTESE DE FALA, APRENDIZADO COMPUTACIONAL, PROSÓDIA, PORTUGUÊS DO BRASIL
ABNT
CRAVEIRO, Giovana Meloni e ALUÍSIO, Sandra Maria. Robustness and diversity evaluation on ProsSegue-ML: a free prosodic segmentation tool for brazilian portuguese. 2026, Anais.. Kerrville: ACL, 2026. Disponível em: https://aclanthology.org/2026.propor-2.24/. Acesso em: 25 abr. 2026.APA
Craveiro, G. M., & Aluísio, S. M. (2026). Robustness and diversity evaluation on ProsSegue-ML: a free prosodic segmentation tool for brazilian portuguese. In Proceedings. Kerrville: ACL. Recuperado de https://aclanthology.org/2026.propor-2.24/NLM
Craveiro GM, Aluísio SM. Robustness and diversity evaluation on ProsSegue-ML: a free prosodic segmentation tool for brazilian portuguese [Internet]. Proceedings. 2026 ;[citado 2026 abr. 25 ] Available from: https://aclanthology.org/2026.propor-2.24/Vancouver
Craveiro GM, Aluísio SM. Robustness and diversity evaluation on ProsSegue-ML: a free prosodic segmentation tool for brazilian portuguese [Internet]. Proceedings. 2026 ;[citado 2026 abr. 25 ] Available from: https://aclanthology.org/2026.propor-2.24/
