Source: Revista de Investigacion e Innovacion en Ciencias de la Salud. Unidade: ICMC
Subjects: REDES NEURAIS, DISFONIA, ANÁLISE DE ONDALETAS, CORDAS VOCAIS
ABNT
MORIKAWA, Mateus e SPATTI, Danilo Hernane e DAJER, María Eugênia. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree of vocal deviation. Revista de Investigacion e Innovacion en Ciencias de la Salud, v. 4, n. 1, p. 16-25, 2022Tradução . . Disponível em: https://doi.org/10.46634/riics.126. Acesso em: 20 ago. 2024.APA
Morikawa, M., Spatti, D. H., & Dajer, M. E. (2022). Wavelet packet transform and multilayer perceptron to identify voices with a mild degree of vocal deviation. Revista de Investigacion e Innovacion en Ciencias de la Salud, 4( 1), 16-25. doi:10.46634/riics.126NLM
Morikawa M, Spatti DH, Dajer ME. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree of vocal deviation [Internet]. Revista de Investigacion e Innovacion en Ciencias de la Salud. 2022 ; 4( 1): 16-25.[citado 2024 ago. 20 ] Available from: https://doi.org/10.46634/riics.126Vancouver
Morikawa M, Spatti DH, Dajer ME. Wavelet packet transform and multilayer perceptron to identify voices with a mild degree of vocal deviation [Internet]. Revista de Investigacion e Innovacion en Ciencias de la Salud. 2022 ; 4( 1): 16-25.[citado 2024 ago. 20 ] Available from: https://doi.org/10.46634/riics.126