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Feature maps of the acoustic spectrum of the voice
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH, Music Acoustics. Royal Conservatoire, The Hague, Netherlands. (Voice Acoustics)ORCID iD: 0000-0003-2497-3109
KTH, School of Electrical Engineering and Computer Science (EECS), Speech, Music and Hearing, TMH, Music Acoustics. (Voice acoustics)ORCID iD: 0000-0002-3362-7518
2018 (English)In: Journal of Voice, ISSN 0892-1997, E-ISSN 1873-4588Article in journal (Refereed) Epub ahead of print
Abstract [en]

The change in the spectrum of sustained /a/ vowels was mapped over the voice range from low to high fundamentalfrequency and low to high sound pressure level (SPL), in the form of the so-called voice range profile (VRP). In eachinterval of one semitone and one decibel, narrowband spectra were averaged both within and across subjects. Thesubjects were groups of 7 male and 12 female singing students, as well as a group of 16 untrained female voices. Foreach individual and also for each group, pairs of VRP recordings were made, with stringent separation of themodal/chest and falsetto/head registers. Maps are presented of eight scalar metrics, each of which was chosen toquantify a particular feature of the voice spectrum, over fundamental frequency and SPL. Metrics 1 and 2 chart the roleof the fundamental in relation to the rest of the spectrum. Metrics 3 and 4 are used to explore the role of resonances inrelation to SPL. Metrics 5 and 6 address the distribution of high frequency energy, while metrics 7 and 8 seek todescribe the distribution of energy at the low end of the voice spectrum. Several examples are observed ofphenomena that are difficult to predict from linear source-filter theory, and of the voice source being less uniform overthe voice range than is conventionally assumed. These include a high-frequency band-limiting at high SPL and anunexpected persistence of the second harmonic at low SPL. The two voice registers give rise to clearly different maps.Only a few effects of training were observed, in the low frequency end below 2 kHz. The results are of potentialinterest in voice analysis, voice synthesis and for new insights into the voice production mechanism.

Place, publisher, year, edition, pages
Elsevier, 2018.
Keywords [en]
Voice Range Profile (VRP), Voice Register, level of the fundamental, harmonicformant interaction, spectrum balance (SB), non-linear source-filter interaction
National Category
Computer and Information Sciences
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-234309DOI: 10.1016/j.jvoice.2018.08.014OAI: oai:DiVA.org:kth-234309DiVA, id: diva2:1245937
Projects
Fonadyn
Funder
Swedish Research Council, 2010-4565
Note

QC 201801001

Available from: 2018-09-06 Created: 2018-09-06 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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