From Voice Signals to Voice Maps

Abstract This article is intended as an introductory tutorial for technically inclined clinicians, vocologists and voice pedagogues who want to understand the principles and potentials of voice mapping. Voice mapping has its origins in the Voice Range Profile, or phonetogram, but it is less concerned with the extremes of the voice range, and more with what happens within a relevant range of the voice. It is a voice instrumentation paradigm that is intended to improve the evidential value of voice measurements. It exposes and automatically accounts for the strong co-variation that most voice metrics exhibit with fundamental frequency and sound level. Very many data points are automatically collected in a short time, and their means are mapped by colour onto maps. This results in a robust representation of voice status and function. While individual voices are very different, a voice map’s appearance is reproducible within individuals. Comparing maps across interventions gives rich information, even on subtle changes in a voice. Moreover, by statistically clustering multiple metrics, phonation types can be identified and mapped automatically, thereby enhancing clinical relevance, and facilitating a deeper understanding of voice data.

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Publication Details

Journal
IJVS International Journal of Voice Sciences
Published
2026-02-16
DOI
https://doi.org/10.2478/ijvs-2025-0002
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

From Voice Signals to Voice Maps

Sten Ternström, Peter Pabon
IJVS International Journal of Voice Sciences
Voice and Speech Disorders
article

From Voice Signals to Voice Maps

Sten Ternström, Peter Pabon
article en

Abstract

Abstract This article is intended as an introductory tutorial for technically inclined clinicians, vocologists and voice pedagogues who want to understand the principles and potentials of voice mapping. Voice mapping has its origins in the Voice Range Profile, or phonetogram, but it is less concerned with the extremes of the voice range, and more with what happens within a relevant range of the voice. It is a voice instrumentation paradigm that is intended to improve the evidential value of voice measurements. It exposes and automatically accounts for the strong co-variation that most voice metrics exhibit with fundamental frequency and sound level. Very many data points are automatically collected in a short time, and their means are mapped by colour onto maps. This results in a robust representation of voice status and function. While individual voices are very different, a voice map’s appearance is reproducible within individuals. Comparing maps across interventions gives rich information, even on subtle changes in a voice. Moreover, by statistically clustering multiple metrics, phonation types can be identified and mapped automatically, thereby enhancing clinical relevance, and facilitating a deeper understanding of voice data.

IJVS International Journal of Voice Sciences
Consumer VOICE (IN), KTH Royal Institute of Technology (SE)
Wenner-Gren Stiftelserna, Vetenskapsrådet, China Scholarship Council, White Rose College of the Arts and Humanities
Quality Education
Openalex Percentile: Top 52%
Voice and Speech Disorders
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