ArticleThe Journal of the Acoustical Society of America2022
Estimating subglottal pressure and vocal fold adduction from the produced voice in a single-subject study (L).
Article in The Journal of the Acoustical Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Perceiving Physiology from the Voice: Evidence for Physiological Coupling Between Laryngeal and Epilaryngeal Adjustments.Journal of voice : official journal of the Voice Foundation · 2026Article
- Toward ambulatory monitoring of vocal behavior at the physiological level using deep ensembles and Bayesian neural networks.JASA express letters · 2025Article
- The influence of source-filter interaction on the voice source in a three-dimensional computational model of voice production.The Journal of the Acoustical Society of America · 2023Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
We previously reported a simulation-based neural network for estimating vocal fold properties and subglottal pressure from the produced voice. This study aims to validate this neural network in a single-human subject study. The results showed reasonable accuracy of the neural network in estimating the subglottal pressure in this particular human subject. The neural network was also able to qualitatively differentiate soft and loud speech conditions regarding differences in the subglottal pressure and degree of vocal fold adduction. This simulation-based neural network has potential applications in identifying unhealthy vocal behavior and monitoring progress of voice therapy or vocal training.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.