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; SPATTI, Danilo Hernane; 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, Medellin, 2022. Disponível em: < https://doi.org/10.46634/riics.126 > DOI: 10.46634/riics.126.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. 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 ;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 ;Available from: https://doi.org/10.46634/riics.126