ArticleThe Journal of the Acoustical Society of America2020
Bayesian estimation of vocal function measures using laryngeal high-speed videoendoscopy and glottal airflow estimates: An in vivo case study.
Article in The Journal of the Acoustical Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 17 citations in OpenAlex.
- A beam-membrane biomechanical vocal fold model incorporating posturing and glottal conformation.ArXiv · 2026Article
- Aerodynamics and Laryngeal Kinematics Following Anterior (Wendler) Glottoplasty: A Case Study.Clinical case reports · 2026Article
- Toward Acoustic-Based Normalization of Laryngeal EMG for Improved Interspeaker Consistency in Muscle-to-Acoustic Mapping.Journal of voice : official journal of the Voice Foundation · 2025Article
- Subject-Specific Modeling by Domain Adaptation for the Estimation of Subglottal Pressure from Neck-Surface Acceleration Signals.Biomedical signal processing and control · 2025Article
- Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks.IEEE transactions on audio, speech, and language processing (2025) · 2025Article
- An Euler-Bernoulli-type beam model of the vocal folds for describing curved and incomplete glottal closure patterns.Journal of the mechanical behavior of biomedical materials · 2023Article
- Article
- Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks.Communications biology · 2023Article
- Exploring the mechanics of fundamental frequency variation during phonation onset.Biomechanics and modeling in mechanobiology · 2023Article
- Non-Linear Image Distortions in Flexible Fiberoptic Endoscopes and their Effects on Calibrated Horizontal Measurements Using High-Speed Videoendoscopy.Journal of voice : official journal of the Voice Foundation · 2022Article
- LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production.PLoS computational biology · 2022Article
- Supervision and Assistance Based on Mobile Information System in Art Video Teaching.Computational intelligence and neuroscience · 2022Article
- Triangular body-cover model of the vocal folds with coordinated activation of the five intrinsic laryngeal muscles.The Journal of the Acoustical Society of America · 2022Article
- Direct measurement and modeling of intraglottal, subglottal, and vocal fold collision pressures during phonation in an individual with a hemilaryngectomy.Applied sciences (Basel, Switzerland) · 2021Article
- The influence of flow model selection on finite element model parameter estimation using Bayesian inference.JASA express letters · 2021Article
- Estimation of Subglottal Pressure, Vocal Fold Collision Pressure, and Intrinsic Laryngeal Muscle Activation From Neck-Surface Vibration Using a Neural Network Framework and a Voice Production Model.Frontiers in physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
Abstract
This study introduces the in vivo application of a Bayesian framework to estimate subglottal pressure, laryngeal muscle activation, and vocal fold contact pressure from calibrated transnasal high-speed videoendoscopy and oral airflow data. A subject-specific, lumped-element vocal fold model is estimated using an extended Kalman filter and two observation models involving glottal area and glottal airflow. Model-based inferences using data from a vocally healthy male individual are compared with empirical estimates of subglottal pressure and reference values for muscle activation and contact pressure in the literature, thus providing baseline error metrics for future clinical investigations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.