kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
From Voice Signals to Voice Maps
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing.ORCID iD: 0000-0002-3362-7518
Voice Quality Systems, Utrecht, The Netherlands.ORCID iD: 0000-0003-2497-3109
2025 (English)In: International Journal of Voice Sciences, E-ISSN 3054-4343Article in journal (Refereed) Epub ahead of print
Abstract [en]

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. Further, by automatically clustering multiple metrics, phonation types can be identified and mapped automatically, which can increase the clinical relevance, and facilitate a better understanding of voice data in general.

Place, publisher, year, edition, pages
Hildesheim/Holzminden/Göttingen: Paradigm Publishers, 2025.
Keywords [en]
Voice map, voice range profile, voice measurement, electroglottography, clinical evidence
National Category
Medical Instrumentation Oto-rhino-laryngology Signal Processing
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-376855DOI: 10.2478/ijvs-2025-0002OAI: oai:DiVA.org:kth-376855DiVA, id: diva2:2039825
Projects
Språkbanken Tal; HumInfra
Note

QC 20260218

Available from: 2026-02-18 Created: 2026-02-18 Last updated: 2026-02-18Bibliographically approved

Open Access in DiVA

fulltext(4633 kB)92 downloads
File information
File name FULLTEXT01.pdfFile size 4633 kBChecksum SHA-512
fc883999f3a4a9f7838f6ad38d8c6e5ed45c98680d277ee92990cceda7a46507629c3a88c149be77a58c731457ff9cfd0b3bb71bd75ef3210cb920f88bc62c21
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Ternström, StenPabon, Peter

Search in DiVA

By author/editor
Ternström, StenPabon, Peter
By organisation
Speech, Music and Hearing
Medical InstrumentationOto-rhino-laryngologySignal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 7162 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf