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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...
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| Publié dans: | Appl Sci (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8299989/ https://ncbi.nlm.nih.gov/pubmed/34306737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/app10020705 |
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