Related Experiment Video
Updated: Mar 12, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
Spectral dynamics of sibilant fricatives are contrastive and language specific
1Department of Linguistics, The Ohio State University, 108A Ohio Stadium East, 1961 Tuttle Park Place, Columbus, Ohio 43210, USA.
Abstract:
Previous research has extensively investigated the spectral properties of sibilant fricatives with little consideration to how these properties vary over time. To investigate such spectro-temporal variation, productions of English /s/ and /ʃ/ and of Japanese /s/ and /ɕ/ in word-initial, prevocalic position were elicited from adult native speakers. The spectral dynamics of these productions were analyzed in terms of a psychoacoustic measure of peak frequency: "peak ERBN number." Peak ERBN number was computed at 17 evenly spaced points across each fricative production. The resulting peak ERBN number trajectories were analyzed with orthogonal polynomial growth-curve models, to determine how peak frequency varied temporally within each fricative. Three analyses compared (1) the English sibilants to each other, (2) the Japanese sibilants to each other, and (3) English /s/ to Japanese /s/. The results indicated that, in both English and Japanese, the sibilant fricatives differ acoustically in terms of both static (i.e., overall level) and dynamic (i.e., shape) aspects of the peak ERBN number trajectories. Furthermore, English /s/ and Japanese /s/ exhibited language-specific differences in the shape, but not overall level, of peak ERBN number trajectories.
More Related Videos
Related Concept Videos
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
IR Frequency Region: Fingerprint Region
Basic signals of Fourier Transform
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
Discrete Fourier Transform
Double Resonance Techniques: Overview
Spin decoupling is usually achieved by...
Physical Assessment of the Respiratory Tract IV: Auscultation
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.

