Pular para o conteúdo principal
  • Portal do Governo Brasileiro
  • Atualize sua Barra de Governo
Início
Buscar: Pesquisador(a) | Publicação
Portuguese Chinese (Simplified) English French German Korean Russian Spanish Swahili Yoruba

Menu principal

  • PESQUISADORES
  • REVISTAS
  • ASSUNTOS
  • PUBLICAÇÕES
Início A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds

A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds

Título: 
A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds
Autor: 
Edson Luiz Cataldo Ferreira
Ano: 
2021
DOI: 
10.1016/j.bspc.2021.102623
Revista: 
Biomedical Signal Processing and Control
ISSN: 
17468094
Idioma: 
Português
Buscar essa publicação no Google Acadêmico

Publicações com a mesma autoria

Comparación entre modelos de colisión de cuerpos
Kernel concurrency opportunities based on GPU benchmarks characterization
Comparing two strategies to model uncertainties in structural dynamics
Evolving Spiking Neural Networks for Recognition of Aged Voices
On the Apparent Propagation Speed in Transmission Line Matrix Uniform Grid Meshes
A brief review and a new treatment for rigid bodies collision models
Synthesis of sung Spanish vowels in lyrical singing by sopranos using the Fant source-filter theory and the Rosenberg glottal pulse model
Modeling random uncertainties in voice production using a parametric approach
USING BAYESIAN METHOD FOR UPDATING THE PROBABILITY DENSITY FUNCTION RELATED TO THE TENSION PARAMETER IN A VOICE PRODUCTION MODEL
Classification of Vocal Aging Using Parameters Extracted From the Glottal Signal
  • ‹ anterior
  • 2 de 4
  • próximo ›

Sobre o site | Fale conosco

Versão Alpha. As informações contidas neste site foram importadas do Lattes no dia 20/04/2022.