Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers (2024)
- Authors:
- Autor USP: MENEGUETTE, RODOLFO IPOLITO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00521-024-10249-4
- Subjects: EMOÇÕES; VOZ; REDES NEURAIS; RECONHECIMENTO DE VOZ
- Keywords: Sound spectrum; Convolutional Neural Networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Neural Computing and Applications
- ISSN: 0941-0643
- Volume/Número/Paginação/Ano: v. 36, p. 19939–19950, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ROCHA FILHO, Geraldo Pereira et al. Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers. Neural Computing and Applications, v. 36, p. 19939–19950, 2024Tradução . . Disponível em: https://doi.org/10.1007/s00521-024-10249-4. Acesso em: 28 fev. 2026. -
APA
Rocha Filho, G. P., Meneguette, R. I., Mendonça, F. L. L. de, Enamoto, L. M., Pessin, G., & Gonçalves, V. P. (2024). Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers. Neural Computing and Applications, 36, 19939–19950. doi:10.1007/s00521-024-10249-4 -
NLM
Rocha Filho GP, Meneguette RI, Mendonça FLL de, Enamoto LM, Pessin G, Gonçalves VP. Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers [Internet]. Neural Computing and Applications. 2024 ; 36 19939–19950.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1007/s00521-024-10249-4 -
Vancouver
Rocha Filho GP, Meneguette RI, Mendonça FLL de, Enamoto LM, Pessin G, Gonçalves VP. Toward an emotion efficient architecture based on the sound spectrum from the voice of Portuguese speakers [Internet]. Neural Computing and Applications. 2024 ; 36 19939–19950.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1007/s00521-024-10249-4 - Generation of real datasets for network simulation
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Informações sobre o DOI: 10.1007/s00521-024-10249-4 (Fonte: oaDOI API)
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