The Biophysics of Vocal Onset, 2nd Edition

A Special Issue of Bioengineering (ISSN 2306-5354) belonging to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 January 2027 | Viewed by 1201

Editors


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Guest Editor
Department of Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Interests: voice acoustics; choir acoustics; voice analysis; voice synthesis; music acoustics; audio signal processing; audio technology; voice range profile; electroglottography
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Guest Editor
Department of Information Engineering, Università degli Studi di Firenze, 50139 Firenze, Italy
Interests: biomedical signal processing; voice analysis; modeling of biomedical signals; parametric spectral estimation; autoregressive models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The onset of vocal fold vibration is a complex transient event, in which the forces at play progressively adjust until a stationary state is reached. The acting elements are lung pressure, intraglottal pressure, myoelastic tension of the vocal folds, glottal impedance, vocal tract inertance, intraglottal turbulence, and vocal tract inertance.

Advanced experimental biomechanics and fluid dynamics—in mechanical models and in vivo—as well as computational simulations are currently the key components for a comprehensive understanding of the diverse physiological and pathological conditions of vocal onset. In pathology, the accurate synchronization of glottal adduction and the building up of subglottal pressure is failing. Moreover, each of these normal or irregular conditions is characterized by specific acoustic features.

Recent progress in high-speed imaging techniques, image segmentation, acoustic analysis, and predictive computer simulations has shed new light on the specific patterns of the different types of onset, which is suited for differentiation via machine learning. This can result in practical applications in the pedagogy of artistic voice (singing/acting), in the early detection of voice diseases, in voice synthesis, in automated speech recognition, and in substitution voicing.

Therefore, this Special Issue on “The Biophysics of Vocal Onset” will focus on original research papers and comprehensive reviews, dealing with cutting-edge experimental and computational approaches and models. It will also focus on an evolutionary perspective of the methodology.

Prof. Dr. Sten Ternström
Dr. Claudia Manfredi
Guest Editors

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Keywords

  • biophysics
  • vocal onset
  • intraglottal pressure
  • transglottal flow
  • glottal area
  • intraglottal turbulence
  • videokymography
  • glottography
  • high-speed imaging
  • voice acoustics
  • voice synthesis
  • machine learning

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Published Papers (1 paper)

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Research

19 pages, 1745 KB  
Article
Investigating Automatic Vocal Rise Time Measurement Parameters and Multi-Corpus Vowel Onset Behavior with the Voice Onset Analysis Tool (VOAT)
by Brian Stasak, John Holik, Duy Duong Nguyen, Tomás Arias-Vergara, Michael Döllinger and Cate Madill
Bioengineering 2026, 13(8), 950; https://doi.org/10.3390/bioengineering13080950 - 21 Aug 2026
Viewed by 510
Abstract
Vocal rise time (VRT) acoustically measures from when vocal cord vibration begins to when phonation achieves a peak steady state. This acoustic-based study examines manual and automatic VRT measurements based on different vowel onset recordings (e.g., hard, modal, soft) from [...] Read more.
Vocal rise time (VRT) acoustically measures from when vocal cord vibration begins to when phonation achieves a peak steady state. This acoustic-based study examines manual and automatic VRT measurements based on different vowel onset recordings (e.g., hard, modal, soft) from four datasets containing 146 adult Australian English-speaking females. Experiments test how the automatic Voice Onset Analysis Tool (VOAT) settings impact VRT measurement estimations. When compared to VOAT VRT baseline setting results, parameter adjustments using a Hilbert envelope 400 ms analysis segment with a low smoothing factor decreased VRT mean absolute error as low as 15.5 ms and 21.3 ms for modal and soft onsets, respectively. While the automated VOAT demonstrates objective repeatability with accelerated VRT extraction time advantages, still experiments herein show that the proposed adjusted settings are least accurate for hard onsets, whereby a mean absolute error as high as 71.0 ms is reported. Given three to five voice therapy sessions, females with voice disorders exhibited an 11% increase in VOAT VRT durations with reduced variation (6%), providing preliminary clinical evidence that this measure can assist in monitoring patients’ progress. This study reveals cross-corpora VRT norms per voice onset type, discusses VOAT parameter effects, and supports future automated VRT algorithm considerations. Full article
(This article belongs to the Special Issue The Biophysics of Vocal Onset, 2nd Edition)
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