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A Deep Neural Network Based Glottal Flow Model for Predicting Fluid-Structure Interactions during Voice Production
This paper proposes a machine-learning based reduced-order model that can provide fast and accurate prediction of the glottal flow during voice production. The model is based on the Bernoulli equation with a viscous loss term predicted by a deep neural network (DNN) model. The training data of the D...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299989/ https://www.ncbi.nlm.nih.gov/pubmed/34306737 http://dx.doi.org/10.3390/app10020705 |