Change search
ReferencesLink to record
Permanent link

Direct link
Perceptual relevance of voice source characteristics in male singers' modal and falsetto registers
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-1495-7773
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
2010 (English)Conference paper (Refereed)
Abstract [en]

It is commonly assumed that the voice source differs between modal and falsetto registers. However, singers often try to reduce the timbral differences between registers, some even doubting that they even exist. The purpose of this study was to investigate the relation between the perceived voice register and the voice source parameters in modal and in falsetto registers as analyzed by inverse filtering and electroglottography. A total of 52 falsetto register tones and 52 modal register tones, sung by 13 male more or less experienced choir singers, were classified by 16 expert listeners in a forced choice test. The listeners’ classifications mostly agreed with the registers intended by the singers. For some tones classification differed substantially, presumably because the singers had learnt to reduce the timbral contrasts between the registers. The number of votes for modal was compared to the following voice source parameters: duration of the closed phase and closed quotient (Qclosed), peak-to-peak airflow amplitude, maximum flow declination rate (MFDR), normalized amplitude quotient (NAQ, defined as the ratio between peak-to-peak airflow amplitude and MFDR multiplied by the fundamental frequency) and level difference between the two lowest source spectrum partials. The results showed that: (1) tones with higher values of Qclosed and of MFDR, and lower values of H1-H2 and NAQ were typically associated with higher number of votes to the modal register, and viceversa, (2) NAQ was the single voice source parameter that presented the strongest correlation with the register classification data, while (3) the combination of Qclosed and H1-H2 parameters was the strongest predictor of the voice source perceptual data.

Place, publisher, year, edition, pages
2010. 29-29 p.
National Category
Signal Processing Language Technology (Computational Linguistics) Music
Research subject
Speech and Music Communication
URN: urn:nbn:se:kth:diva-52252OAI: diva2:465548
5th International Conference on the Physiology & Acoustics of Singing, August 10-13, 2010, Stockholm

tmh_import_11_12_14 QC 20120103. QC 20160222

Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2016-02-22Bibliographically approved

Open Access in DiVA

No full text

Other links


Search in DiVA

By author/editor
Salomão, Gláucia LaísSundberg, Johan
By organisation
Speech, Music and Hearing, TMH
Signal ProcessingLanguage Technology (Computational Linguistics)Music

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

Total: 12 hits
ReferencesLink to record
Permanent link

Direct link