Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models (2024)
- Authors:
- USP affiliated authors: PONTI, MOACIR ANTONELLI - ICMC ; ALUISIO, SANDRA MARIA - ICMC ; GALDINO, JULIO CESAR - ICMC ; ARAÚJO, GUSTAVO EVANGELISTA - ICMC
- Unidade: ICMC
- DOI: 10.5753/eniac.2024.245092
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; SÍNTESE DE FALA; PROSÓDIA
- Keywords: Acoustic Analysis of Prosodic Features; Speech Synthesis Models Evaluation; Portuguese language; Spontaneous Speech
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2024
- Source:
- Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GALDINO, Julio Cesar et al. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/eniac.2024.245092. Acesso em: 14 fev. 2026. -
APA
Galdino, J. C., Araújo, G. E., Candido Junior, A., Oliveira Junior, M. J. A. D., Ponti, M. A., & Aluísio, S. M. (2024). Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2024.245092 -
NLM
Galdino JC, Araújo GE, Candido Junior A, Oliveira Junior MJAD, Ponti MA, Aluísio SM. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models [Internet]. Anais. 2024 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.5753/eniac.2024.245092 -
Vancouver
Galdino JC, Araújo GE, Candido Junior A, Oliveira Junior MJAD, Ponti MA, Aluísio SM. Acoustic analysis of prosodic features in natural versus synthesized speech samples from YourTTS and SYNTACC models [Internet]. Anais. 2024 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.5753/eniac.2024.245092 - EyetrackingMOS: proposta de um método de avaliação online para modelos de síntese de fala
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Informações sobre o DOI: 10.5753/eniac.2024.245092 (Fonte: oaDOI API)
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