Mehmet Akif Kılıç, Muhammed Selman Babar, Göksu Tarakçı
Journal of Academic Research in Medicine - 2026;16(1):43-53
Objective: This study aimed to compare nasalance values obtained using the Praat-assisted Nasalance Meter (PANM) and the Nasometer II model (NMII) 6450 by examining the effects of hardware and software configurations and evaluating the strength of the linear relationships between measurements derived from these systems. Methods: A total of 60 healthy participants (17 men, 43 women) aged 18-23 years were included. Acoustic signals were recorded and analyzed separately using PANM and NMII hardware and software configurations. PANM measurements were obtained using 80-1000 Hz and 300-750 Hz bandpass filters, whereas NMII measurements were obtained using a 300-750 Hz bandpass filter. Data were analyzed using Pearson correlation and two-way repeated-measures analysis of variance (ANOVA). Results: Positive correlations were observed between nasalance scores obtained from different hardware and software configurations (p<0.05). Repeated-measures ANOVA revealed significant main effects of both software and hardware across speech materials. NMII software yielded higher nasalance scores than PANM software, whereas PANM hardware produced higher scores than NMII hardware in most speech materials. Similar patterns were observed across different types of speech materials. Conclusion: The findings demonstrate that nasalance scores obtained from the PANM and NMII systems vary according to hardware and software configurations. Although measurements showed linear associations, the consistent differences observed across speech materials indicate that system-specific technical properties influence score magnitude. Therefore, hardware and software configurations should be carefully considered when interpreting and reporting nasalance scores in clinical and research settings.
