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A one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration
A one-dimensional (1D) unsteady and viscous flow model that is derived from the momentum and mass conservation equations is described, and to enhance this physics-based model, a machine learning approach is used to determine the unknown modeling parameters. Specifically, an idealized larynx model is...
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| Pubblicato in: | J Acoust Soc Am |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Acoustical Society of America
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7954577/ https://ncbi.nlm.nih.gov/pubmed/33765799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/10.0003561 |
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