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Accounting for variability over the voice range
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH. (Music Acoustics)ORCID iD: 0000-0002-3362-7518
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH. Royal Conservatoire, The Hague, NL. (Music Acoustics)ORCID iD: 0000-0003-2497-3109
2019 (English)In: Proceedings of the ICA 2019 and EAA Euroregio / [ed] Martin Ochmann, Michael Vorländer, Janina Fels, Aachen, DE: Deutsche Gesellschaft für Akustik (DEGA e.V.) , 2019, p. 7775-7780Conference paper, Published paper (Refereed)
Abstract [en]

Researchers from the natural sciences interested in the performing arts often seek quantitative findings with explanatory power and practical relevance to performers and educators. However, the complexity of singing voice production continues to challenge us. On their own, entities that are readily measurable in the domain of physics are rarely of direct relevance to excellence in the domain of performance; because information on one level of representation (e.g., acoustic) is artistically meaningful mostly when interpreted in a context at a higher level of representation (e.g., emotional or semantic). Also, practically any acoustic or physiologic metric derived from the sound of a voice, or from other signals or images, will exhibit considerable variation both across individuals and across the voice range, from soft to loud or from low to high pitch. Here, we review some recent research based on the sampling paradigm of the voice field, also known as the voice range profile. Despite large inter-subject variation, the localizing by fo and SPL in the voice field will make the recorded values very reproducible within subjects. We demonstrate some technical possibilities, and argue the importance of making physical measurements that provide a more encompassing and individual-centric view of singing voice production.

Place, publisher, year, edition, pages
Aachen, DE: Deutsche Gesellschaft für Akustik (DEGA e.V.) , 2019. p. 7775-7780
Keywords [en]
variability, voice analysis, voice range profile
National Category
Signal Processing
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-259393ISBN: 978-3-939296-15-7 (electronic)OAI: oai:DiVA.org:kth-259393DiVA, id: diva2:1351372
Conference
ICA 2019 and EAA Euroregio - 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019, 9-13 September, 2019, Aachen, Germany
Projects
Phonatory Dynamics and States
Funder
Swedish Research Council, 2010-4565
Note

Overview of a new research paradigm. QC 20191018

Available from: 2019-09-15 Created: 2019-09-15 Last updated: 2019-10-18Bibliographically approved

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Ternström, Sten

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  • apa
  • harvard1
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  • Other locale
More languages
Output format
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