Morikawa, Mateus 
; Spatti, Danilo Hernane ; Dajer, María Eugênia
Fonte: Book of Abstracts. Nome do evento: International Conference on Advances in Quantitative Laryngology, Voice and Speech Research. Unidade: ICMC
Assuntos: PROCESSAMENTO DE VOZ, REDES NEURAIS, ANÁLISE DE ONDALETAS
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ABNT
MORIKAWA, Mateus e SPATTI, Danilo Hernane e DAJER, María Eugênia. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree deviation. 2021, Anais.. Bogotá: AQL Local Organizing Committee, 2021. Disponível em: https://aql2021.sciencesconf.org/data/pages/210624_BOOK_OF_ABSTRACTS_complete.pdf. Acesso em: 04 set. 2024.APA
Morikawa, M., Spatti, D. H., & Dajer, M. E. (2021). Wavelet packet transform and multilayer perceptron to identify voices with a mild degree deviation. In Book of Abstracts. Bogotá: AQL Local Organizing Committee. Recuperado de https://aql2021.sciencesconf.org/data/pages/210624_BOOK_OF_ABSTRACTS_complete.pdfNLM
Morikawa M, Spatti DH, Dajer ME. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree deviation [Internet]. Book of Abstracts. 2021 ;[citado 2024 set. 04 ] Available from: https://aql2021.sciencesconf.org/data/pages/210624_BOOK_OF_ABSTRACTS_complete.pdfVancouver
Morikawa M, Spatti DH, Dajer ME. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree deviation [Internet]. Book of Abstracts. 2021 ;[citado 2024 set. 04 ] Available from: https://aql2021.sciencesconf.org/data/pages/210624_BOOK_OF_ABSTRACTS_complete.pdf
