Towards a Digital Twin for Voice Pathology: Analyzing Microphone Effects on Acoustic Feature Extraction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F25%3A43929215" target="_blank" >RIV/00064173:_____/25:43929215 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11120/25:43929215

Výsledek na webu

<a href="https://doi.org/10.1016/j.procs.2025.09.625" target="_blank" >https://doi.org/10.1016/j.procs.2025.09.625</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2025.09.625" target="_blank" >10.1016/j.procs.2025.09.625</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards a Digital Twin for Voice Pathology: Analyzing Microphone Effects on Acoustic Feature Extraction

Popis výsledku v původním jazyce

Microphone variability is a potential source of bias in acoustic feature extraction, which is critical for applications such as automated voice pathology detection based on digital twins (DTs). In this study, we investigate the effect of different microphones on commonly used acoustic features, including fundamental frequency (f&lt;inf&gt;0&lt;/inf&gt;) and its standard deviation, pitch difference, harmonics-to-noise ratio (HNR), jitter, shimmer, Shannon entropy, zero-crossing rate, spectral fatness, spectral roll-off, spectral contrast and signal skewness. We recorded ten subjects (five men and five women) sustaining the vowel /a:/ using 3 different microphones in controlled conditions. After removing silent parts, we segmented the signals into fixed-length windows for feature extraction. To assess the impact of microphone choice, we first evaluated the normality of each feature using the Shapiro-Wilk test. Given that many features did not follow a normal distribution, we employed the Kruskal-Wallis test to compare feature distributions across devices. If a significant effect was detected, pair-wise Wilcoxon tests with Bonferroni correction were conducted. Our results indicate that statistically significant differences were found across microphones for the extracted acoustic features. These findings suggest that microphone variability has a significant effect on feature extraction in controlled settings, pointing out possible difficulties in DTs construction for voice pathology detection.

Název v anglickém jazyce

Towards a Digital Twin for Voice Pathology: Analyzing Microphone Effects on Acoustic Feature Extraction

Popis výsledku anglicky

Microphone variability is a potential source of bias in acoustic feature extraction, which is critical for applications such as automated voice pathology detection based on digital twins (DTs). In this study, we investigate the effect of different microphones on commonly used acoustic features, including fundamental frequency (f&lt;inf&gt;0&lt;/inf&gt;) and its standard deviation, pitch difference, harmonics-to-noise ratio (HNR), jitter, shimmer, Shannon entropy, zero-crossing rate, spectral fatness, spectral roll-off, spectral contrast and signal skewness. We recorded ten subjects (five men and five women) sustaining the vowel /a:/ using 3 different microphones in controlled conditions. After removing silent parts, we segmented the signals into fixed-length windows for feature extraction. To assess the impact of microphone choice, we first evaluated the normality of each feature using the Shapiro-Wilk test. Given that many features did not follow a normal distribution, we employed the Kruskal-Wallis test to compare feature distributions across devices. If a significant effect was detected, pair-wise Wilcoxon tests with Bonferroni correction were conducted. Our results indicate that statistically significant differences were found across microphones for the extracted acoustic features. These findings suggest that microphone variability has a significant effect on feature extraction in controlled settings, pointing out possible difficulties in DTs construction for voice pathology detection.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30206 - Otorhinolaryngology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Procedia Computer Science

ISSN

1877-0509

e-ISSN

1877-0509

Svazek periodika

270

Číslo periodika v rámci svazku

-

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

9

Strana od-do

4988-4996

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105024078969