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The self-to-other ratio applied as a phonation detector for voice accumulation
KTH, Superseded Departments, Speech, Music and Hearing.ORCID iD: 0000-0003-4129-9793
2003 (English)In: Logopedics, Phoniatrics, Vocology, ISSN 1401-5439, E-ISSN 1651-2022, Vol. 28, no 2, 71-80 p.Article in journal (Refereed) Published
Abstract [en]

A new method for phonation detection is presented. The method utilises two microphones attached near the subject's ears. Simplified, phonation is assumed to occur when the signals appear mainly in-phase and at equal amplitude. Several signal processing steps are added in order to improve the phonation detection, and finally the original signal is sorted in separate channels corresponding to the phonated and non-phonated instances. The method is tested in a laboratory setting to demonstrate the need for some of the stages of the signal processing and to examine the processing speed. The resulting sound file allows for measurement of phonation time, speaking time and fundamental frequency of the subject and sound pressure level of the subject's voice and the environmental sounds separately. The present implementation gives great freedom for adjustment of analysis parameters, since the microphone signals are recorded on DAT tape and the processing is performed off-line on a PC. In future versions, a voice accumulator based on this principle could be designed in order to shorten analysis time and thus make the method more appropriate for clinical use.

Place, publisher, year, edition, pages
2003. Vol. 28, no 2, 71-80 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-13263DOI: 10.1080/14015430310011772OAI: oai:DiVA.org:kth-13263DiVA: diva2:322977
Note
QC 20100609Available from: 2010-06-09 Created: 2010-06-09 Last updated: 2017-12-12Bibliographically approved
In thesis
1. Computer methods for voice analysis
Open this publication in new window or tab >>Computer methods for voice analysis
2003 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis consists of five articles and a summary. Thethesis deals with methods for measuring properties of thevoice. The methods are all computer-based, but utilisedifferent approaches for measuring different aspects of thevoice.

Paper I introduces the Visual Sort and Rate (VSR) method forperceptual rating of voice quality. The method is based on theVisual Analogue Scale (VAS), but simultaneously shows allstimuli as icons along the VAS on the computer screen. As thelistener places similar-sounding stimuli close to each otherduring the rating process, comparing stimuli becomeseasier.

Paper II introduces the correlogram. Fundamental frequencyF0 sometimes cannot be strictly defined, particularly forperturbed voice signals. The method displays multipleconsecutive correlation functions in a grey scale image. Thus,the correlogram avoids selecting a single F0 value. Rather itpresents an unbiased image of periodicity, allowing theinvestigator to select among several candidates, ifappropriate.

PaperIII introduces a method for detection of phonation tobe utilised in voice accumulators. The method uses twomicrophones attached near the subject’s ears. Phase andamplitude relations of the microphone signals are used to forma phonation detector. The output of the method can be used tomeasure phonation time, speaking time and fundamental frequencyof the subject, as well as sound pressure level of both thesubject’s voicing and the ambient sounds.

Paper IV introduces a method for Fourier analysis ofhigh-speed laryngoscopic imaging. The data from the consecutiveimages are re-arranged to form time-series that reflect thetime-variation of light intensity in each pixel. Each of thesetime series is then analysed by means of Fouriertransformation, such that a spectrum for each pixel isobtained. Several ways of displaying these spectra aredemonstrated.

Paper V examines a test set-up for simultaneous recording ofairflow, intra-oral pressure, electro-glottography, audio andhigh-speed imaging. Data are analysed with particular focus onsynchronisation between glottal area and inverse filteredairflow. Several methodological aspects are also examined, suchas the difficulties in synchronising high-speed imaging datawith the other signals.

Place, publisher, year, edition, pages
Stockholm: KTH, 2003. 22 p.
Series
Trita-TMH, 2003:2
Keyword
voice analysis, perceptual analysis, fundamental frequency, correlogram, aperiodicity, Fourier analysis, high-speed imaging, laryngoscopy, vocal fold vibration, voice accumulation.
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-3485 (URN)91-7283-461-7 (ISBN)
Public defence
2003-03-28, 00:00
Note
QC 20100609Available from: 2003-03-21 Created: 2003-03-21 Last updated: 2010-06-09Bibliographically approved

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Granqvist, Svante

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