# FAIR Software Development for Voice and Speech Simulation

> **NIH NIH R01** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2021 · $219,521

## Abstract

PROJECT SUMMARY/ABSTRACT
A major aim of the parent grant is to quantify the fundamental frequency (pitch) range and vocal fold
posturing stability achievable by measuring ligament properties and embedding them into a finite
element fiber-gel model of vocal fold vibration. The fiber-gel model is a primary mathematical
simulation component of the VoxInSilico software package. Its general application is to predict
vocalization outcomes when structural and motor activation inputs are modified with surgery, therapy,
or voice training. Muscle activation plots are produced that show how fundamental frequency varies
with cricothyroid and thyroarytenoid activation. Laryngeal framework mechanics of translation and
rotation of the cricothyroid joint and the cricoarytenoid joint are used to calculate vocal fold strain
(elongation). The role of the ligament in control of fo, limitation of vertical displacement, and stabilizing
adduction is quantified. The goals of the supplement project are (1) to update the code from Fortran to
Python, (2) to develop user interfaces that many clinicians and voice trainers can use in daily practice,
and (3) the dissemination of VoxInSilico software to a wide group of users through national
voice/speech organizations.

## Key facts

- **NIH application ID:** 10405867
- **Project number:** 3R01DC018280-02S1
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** INGO R TITZE
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $219,521
- **Award type:** 3
- **Project period:** 2020-01-01 → 2024-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10405867

## Citation

> US National Institutes of Health, RePORTER application 10405867, FAIR Software Development for Voice and Speech Simulation (3R01DC018280-02S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10405867. Licensed CC0.

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