A one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration
Author:
Affiliation:
1. Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, Tennessee 37235-1592, USA
2. Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
Funder
Foundation for the National Institutes of Health
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/pdf/10.1121/10.0003561
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Image-Based Flow Prediction of Vocal Folds Using 3D Convolutional Neural Networks;Journal of Bionic Engineering;2024-01-12
2. Biotransport in human phonation: Porous vocal fold tissue and fluid–structure interaction;Physics of Fluids;2023-12-01
3. Subject-Specific Modeling of Implant Placement for Type I Thyroplasty Surgery;Annals of Biomedical Engineering;2023-06-01
4. Overview on state-of-the-art numerical modeling of the phonation process;Acta Acustica;2023
5. An Improved Glottal Flow Model Based on Seq2Seq LSTM for Simulation of Vocal Fold Vibration;Journal of Voice;2022-05
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