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Treffer: Comparison Between Custom Smartphone Acoustic Processing Algorithms and Praat in Healthy and Disordered Voices.

Title:
Comparison Between Custom Smartphone Acoustic Processing Algorithms and Praat in Healthy and Disordered Voices.
Authors:
Llico AF; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio., Shanley SN; Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio., Friedman AD; Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati, Cincinnati, Ohio., Bamford LM; Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, Ohio., Roberts RM; Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio., McKenna VS; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio; Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio; Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati, Cincinnati, Ohio. Electronic address: mckennvs@ucmail.uc.edu.
Source:
Journal of voice : official journal of the Voice Foundation [J Voice] 2026 Jan; Vol. 40 (1), pp. 87-95. Date of Electronic Publication: 2023 Sep 09.
Publication Type:
Journal Article; Comparative Study
Language:
English
Journal Info:
Publisher: Mosby Country of Publication: United States NLM ID: 8712262 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4588 (Electronic) Linking ISSN: 08921997 NLM ISO Abbreviation: J Voice Subsets: MEDLINE
Imprint Name(s):
Publication: 2003- : St. Louis, MO : Mosby
Original Publication: [New York, N.Y.] : Raven Press, 1987-
MeSH Terms:
Smartphone* , Algorithms* , Voice Quality* , Speech Acoustics* , Acoustics*/instrumentation , Phonation* , Speech Production Measurement*/instrumentation , Speech Production Measurement*/methods , Dysphonia*/physiopathology , Dysphonia*/diagnosis , Signal Processing, Computer-Assisted* , Mobile Applications*, Humans ; Middle Aged ; Adult ; Aged ; Male ; Female ; Young Adult ; Adolescent ; Aged, 80 and over ; Predictive Value of Tests ; Case-Control Studies ; Time Factors ; Reproducibility of Results ; Sound Spectrography
Contributed Indexing:
Keywords: Acoustics; Smartphone; Technology; Voice
Entry Date(s):
Date Created: 20230910 Date Completed: 20260110 Latest Revision: 20260113
Update Code:
20260113
DOI:
10.1016/j.jvoice.2023.07.032
PMID:
37690854
Database:
MEDLINE

Weitere Informationen

Objective: The aim of this study was to understand the relationship between temporal and spectral-based acoustic measures derived using Praat and custom smartphone algorithms across patients with a wide range of vocal pathologies.
Methods: Voice samples were collected from 56 adults (11 vocally healthy, 45 dysphonic, aged 18-80 years) performing three speech tasks: (a) sustained vowel, (b) maximum phonation, and (c) the second and third sentences of the Rainbow passage. Data were analyzed to extract mean fundamental frequency (f <subscript>o</subscript> ), maximum phonation time (MPT), and cepstral peak prominence (CPP) using Praat and our custom smartphone algorithms. Linear regression models were calculated with and without outliers to determine relationships.
Results: Statistically significant relationships were found between the smartphone algorithms and Praat for all three measures (r <sup>2</sup> = 0.68-0.95, with outliers; r <sup>2</sup> = 0.80-0.98, without outliers). An offset between CPP measures was found where Praat values were consistently lower than those computed by the smartphone app. Outlying data were identified and described, and findings indicated that speakers with high levels of clinician-perceived dysphonia resulted in smartphone algorithm errors.
Conclusions: These results suggest that the proposed algorithms can provide measurements comparable to clinically derived values. However, clinicians should take caution when analyzing severely dysphonic voices as the current algorithms show reduced accuracy for measures of mean f <subscript>o</subscript> and MPT for these voice types.
(Copyright © 2025 The Voice Foundation. Published by Elsevier Inc. All rights reserved.)

Declaration of Competing Interest None.