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Update 3.1 to FonaDyn: A system for real-time analysis of the electroglottogram, over the voice range
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0002-3362-7518
2024 (engelsk)Inngår i: SoftwareX, E-ISSN 2352-7110, Vol. 26Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The human voice is notoriously variable, and conventional measurement paradigms are weak in terms of providing evidence for effects of treatment and/or training of voices. New methods are needed that can take into account the variability of metrics and types of phonation across the voice range. The “voice map” is a generalization of the Voice Range Profile (a.k.a. the phonetogram), with the potential to be used in many ways, for teaching, training, therapy and research. FonaDyn is intended as a proof-of concept workbench for education and research on phonation, and for exploring and validating the analysis paradigm of voice-mapping. Version 3.1 of the FonaDyn system adds many new functions, including listening from maps; displaying multiple maps and difference maps to track effects of voice interventions; smoothing/interpolation of voice maps; clustering not only of EGG shapes but also of acoustic and EGG metrics into phonation types; extended multichannel acquisition;24-bit recording with optional max 140 dB SPL; a built-in SPL calibration and signal diagnostics tool; EGG noise suppression; more Matlab integration; script control; the acoustic metrics Spectrum Balance, Cepstral Peak Prominence and Harmonic Richness Factor (of the EGG); and better window layout control. Stability and usability are further improved. Apple M-series processors are now supported natively.

sted, utgiver, år, opplag, sider
Elsevier BV , 2024. Vol. 26
Emneord [en]
Voice mapping Electroglottography, Real-time analysis, Voice range profile, Phonation types, Supercollider
HSV kategori
Forskningsprogram
Tal- och musikkommunikation
Identifikatorer
URN: urn:nbn:se:kth:diva-343437DOI: 10.1016/j.softx.2024.101653ISI: 001187872400001OAI: oai:DiVA.org:kth-343437DiVA, id: diva2:1837572
Forskningsfinansiär
Swedish Research Council, 2010-4565
Merknad

QC 20240214

Tilgjengelig fra: 2024-02-14 Laget: 2024-02-14 Sist oppdatert: 2024-04-08bibliografisk kontrollert

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