Literature DB >> 11129033

Vocal fold vibrations: high-speed imaging, kymography, and acoustic analysis: a preliminary report.

H Larsson1, S Hertegård, P A Lindestad, B Hammarberg.   

Abstract

OBJECTIVES: To evaluate a new analysis system, High-Speed Tool Box (H. Larsson, custom-made program for image analysis, version 1.1, Department of Logopedics and Phoniatrics, Huddinge University Hospital, Huddinge, Sweden, 1998) for studying vocal fold vibrations using a high-speed camera and to relate findings from these analyses to sound characteristics. STUDY
DESIGN: A Weinberger Speedcam + 500 system (Weinberger AG, Dietikon, Switzerland) was used with a frame rate of 1,904 frames per second. Images were stored and analyzed digitally. Analysis included automatic glottal edge detection and calculation of glottal area variations, as well as kymography. These signals were compared with acoustic waveforms using the Soundswell program (Hitech Development AB, Stockholm, Sweden).
METHODS: The High-Speed Tool Box was applied on two types of high-speed recordings: a diplophonic phonation and a tremor voice. Relations between glottal vibratory patterns and the sound waveform were analyzed.
RESULTS: In the diplophonic phonation, the glottal area waveform, as well as the kymogram, showed a specific pattern of repetitive glottal closures, which was also seen in the acoustic waveform. In the tremor voice, fundamental frequency (F0) fluctuations in the acoustic waveform were reflected in slow variations in amplitude in the glottal area waveform. For studying details of mucosal movements during these kinds of abnormal vibrations, the glottal area waveform was particularly useful.
CONCLUSIONS: Our results suggest that this combined high-speed acoustic-kymographic analysis package is a promising aid for separating and specifying different voice qualities such as diplophonia and voice tremor. Apart from clinical use, this finding should be of help for specification of the terminology of different voice qualities.

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Year:  2000        PMID: 11129033     DOI: 10.1097/00005537-200012000-00028

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  16 in total

1.  Suppression of thyroarytenoid muscle responses during repeated air pressure stimulation of the laryngeal mucosa in awake humans.

Authors:  Pamela Reed Kearney; Christopher J Poletto; Eric A Mann; Christy L Ludlow
Journal:  Ann Otol Rhinol Laryngol       Date:  2005-04       Impact factor: 1.547

Review 2.  Advances in laryngeal imaging.

Authors:  Antanas Verikas; Virgilijus Uloza; Marija Bacauskiene; Adas Gelzinis; Edgaras Kelertas
Journal:  Eur Arch Otorhinolaryngol       Date:  2009-07-19       Impact factor: 2.503

3.  High-speed videolaryngoscopy in early glottic carcinoma patients following transoral CO2 LASER cordectomy.

Authors:  Sachin Gandhi; Subash Bhatta; Dushyanth Ganesuni; Asheesh Dora Ghanpur; Shraddha Jayant Saindani
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-10-21       Impact factor: 2.503

4.  Laryngeal High-Speed Videoendoscopy: Rationale and Recommendation for Accurate and Consistent Terminology.

Authors:  Dimitar D Deliyski; Robert E Hillman; Daryush D Mehta
Journal:  J Speech Lang Hear Res       Date:  2015-10       Impact factor: 2.297

5.  Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions.

Authors:  Christian T Herbst; Vit Hampala; Maxime Garcia; Riccardo Hofer; Jan G Svec
Journal:  J Vis Exp       Date:  2017-11-25       Impact factor: 1.355

6.  Relationship Between Acoustic Voice Onset and Offset and Selected Instances of Oscillatory Onset and Offset in Young Healthy Men and Women.

Authors:  Rita R Patel; Karen Forrest; Drew Hedges
Journal:  J Voice       Date:  2016-10-18       Impact factor: 2.009

7.  The glottaltopogram: a method of analyzing high-speed images of the vocal folds.

Authors:  Gang Chen; Jody Kreiman; Abeer Alwan
Journal:  Comput Speech Lang       Date:  2014-09-01       Impact factor: 1.899

8.  An automatic method to quantify mucosal waves via videokymography.

Authors:  Jack J Jiang; Yu Zhang; Michael P Kelly; Erik T Bieging; Matthew R Hoffman
Journal:  Laryngoscope       Date:  2008-08       Impact factor: 3.325

9.  Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

Authors:  Mona Kirstin Fehling; Fabian Grosch; Maria Elke Schuster; Bernhard Schick; Jörg Lohscheller
Journal:  PLoS One       Date:  2020-02-10       Impact factor: 3.240

10.  Typing vocal fold vibratory patterns in excised larynx experiments via digital kymography.

Authors:  Yu Zhang; Christopher R Krausert; Michael P Kelly; Jack J Jiang
Journal:  Ann Otol Rhinol Laryngol       Date:  2009-08       Impact factor: 1.547

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