Evidence map›Paper›PMID 40681381›Full record

ArticleJournal of voice : official journal of the Voice Foundation2025

Validation of a Python-Based Graphical User Interface for Calculation of Relative Fundamental Frequency.

Mara R Kapsner-Smith, Aideen Gill, Abigail Muzila, Tamara Polyakova, Austeja Rubeski, Joshua Kline, Cara E Stepp, Jenny Vojtech

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mara R Kapsner-SmithDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215. Electronic address: mkapsner@bu.edu.
Aideen GillDelsys, Inc., Natick, MA 01760; Altec, Inc., Natick, MA 01760.
Abigail MuzilaDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215; Department of Biomedical Engineering, Boston University, Boston, MA 02215.
Tamara PolyakovaDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215; Department of Biomedical Engineering, Boston University, Boston, MA 02215.
Austeja RubeskiDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215; Department of Biomedical Engineering, Boston University, Boston, MA 02215.
Joshua KlineDelsys, Inc., Natick, MA 01760; Altec, Inc., Natick, MA 01760.
Cara E SteppDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215; Department of Biomedical Engineering, Boston University, Boston, MA 02215; Department of Otolaryngology - Head and Neck Surgery, Boston University School of Medicine, Boston, MA 02215.
Jenny VojtechDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215; Delsys, Inc., Natick, MA 01760; Altec, Inc., Natick, MA 01760.

Funding

Objective Measures for Clinical Assessment of Voice DisordersR01DC015570 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI STEPP, CARA E. · 2016 to 2025
$4.8M
Non-Contact Solution for Quantitative Clinical Management of MTDR43DC019585 · NIDCD · ALTEC, INC. · PI VOJTECH, JENNIFER MICHELE · 2022 to 2022
$256k
NIDCD NIH HHS R01 DC015570NIDCD NIH HHS R43 DC019585
6 · The paper itself

Abstract

objectivesThe purpose of this study was to validate PyRFF, a semi-automated software for calculating relative fundamental frequency (RFF). PyRFF was developed in Python, a widely used open source programming language, making it freely accessible and broadly applicable for researchers and clinicians. By providing an accessible tool for RFF extraction, PyRFF has the potential to facilitate wider adoption of RFF measures in both research and clinical settings. STUDY

designValidation study.

methodsTo assess the accuracy of PyRFF, RFF measures were extracted using both PyRFF and a previously validated, semi-automated algorithm implemented in MATLAB. The outputs from the two programs were then compared using statistical measures of error, including root mean square error (RMSE) and mean bias error (MBE).

resultsThe results demonstrated near-identical outputs between PyRFF and the MATLAB-based algorithm. RMSE and MBE values were close to zero for all comparisons, indicating minimal discrepancy between the two methods.

conclusionsPyRFF offers a valid, freely available software platform for extracting RFF measures, ensuring accessibility for a broad user base of researchers, clinicians, and students. The availability of free, user-friendly software is essential for advancing research and clinical application of RFF in voice assessment. By providing an alternative to MATLAB-based methods, PyRFF lowers financial and technical barriers, promoting further exploration of RFF as a potential tool in voice disorder assessment and treatment.

Indexed as

Acoustic measuresDysphoniaRelative fundamental frequencyVocal hyperfunctionVoiceVoice disorders

Identifiers

PMID40681381
PMCPMC12367289

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.