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Effects on Vocal Range and Voice Quality of Singing Voice Training: The Classically Trained Female Voice
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.ORCID iD: 0000-0002-3362-7518
2014 (English)In: Journal of Voice, ISSN 0892-1997, E-ISSN 1873-4588, Vol. 28, no 1, p. 36-51Article in journal (Refereed) Published
Abstract [en]

ObjectivesA longitudinal study was performed on the acoustical effects of singing voice training under a given study programme, using the Voice Range Profile (VRP). Study DesignPre- and post-training recordings were made of students that participated in a 3-year bachelor singing study programme. A questionnaire that included questions on optimal range, register use, classification, vocal health and hygiene, mixing technique, and training goals, was used to rate and categorize self-assessed voice changes. Based on the responses, a sub-group of 10 classically trained female voices was selected, that was homogeneous enough for effects of training to be identified. MethodsThe VRP perimeter contour was analyzed for effects of voice training. Also, a mapping within the VRP of voice quality, as expressed by the crest factor, was used to indicate the register boundaries and to monitor the acoustical consequences of the newly learned vocal technique of ‘mixed voice.’ VRP’s were averaged across subjects. Findings were compared to the self-assessed vocal changes. ResultsPre-post comparison of the average VRPs showed, in the midrange, (1) a decrease in the VRP area that was associated with the loud chest voice, (2) a reduction of the crest factor values, and (3) a reduction of maximum SPL values. The students’ self-evaluations of the voice changes appeared in some cases to contradict the VRP findings. ConclusionsVRP’s of individual voices were seen to change over the course of a singing education. These changes were manifest also in the group average. High resolution computerized recording, complemented with an acoustic register marker, allows a meaningful assessment of some effects of training, on an individual basis as well as for groups comprised of singers of a specific genre. It is argued that this kind of investigation is possible only within a focussed training programme, given by a faculty that has agreed on the goals.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 28, no 1, p. 36-51
Keywords [en]
Mixed voice, Phonetogram, Voice range profile, Voice training
National Category
Computer Sciences
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-137397DOI: 10.1016/j.jvoice.2013.06.005ISI: 000329326100006Scopus ID: 2-s2.0-84891835734OAI: oai:DiVA.org:kth-137397DiVA, id: diva2:678911
Funder
Swedish Research Council
Note

QC 20140130 tmh_import_13_12_13, tmh_id_3868

Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2018-10-05Bibliographically approved
In thesis
1. Mapping Individual Voice Quality over the Voice Range: The Measurement Paradigm of the Voice Range Profile
Open this publication in new window or tab >>Mapping Individual Voice Quality over the Voice Range: The Measurement Paradigm of the Voice Range Profile
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The acoustic signal of voiced sounds has two primary attributes: fundamental frequency and sound level. It has also very many secondary attributes, or ‘voice qualities’, that can be derived from the acoustic signal, in particular from its periodicity and its spectrum. Acoustic voice analysis as a discipline is largely concerned with identifying and quantifying those qualities or parameters that are relevant for assessing the health or training status of a voice or that characterize the individual quality. The thesis presented here is that all such voice qualities covary essentially and individually with the fundamental frequency and the sound level, and that methods for assessing the voice must account for this covariation and individuality. The central interest in the "voice field" measurement paradigm becomes to map the proportional dependencies that exist between voice parameters. The five studies contribute to ways of doing this in practice, while the framework text presents the theoretical basis for the analysis model in relation to the practical principles.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2018. p. 90
Series
TRITA-EECS-AVL ; 2018:70
Keywords
Voice Range Profile (VRP), Phonetogram, Voice Field, Voice quality, Singing voice, Voice synthesis, Clinical voice assessment, Sound level measurement, Maximum Entropy
National Category
Other Natural Sciences
Research subject
Speech and Music Communication
Identifiers
urn:nbn:se:kth:diva-235824 (URN)978-91-7729-958-5 (ISBN)
Public defence
2018-10-26, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20181008

Available from: 2018-10-08 Created: 2018-10-05 Last updated: 2018-10-08Bibliographically approved

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