Identifying relevant analysis parameters for the classification of vocal fold dynamics

AbstractLongitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.

Download Full-text

Model-based classification of nonstationary vocal fold vibrations

The Journal of the Acoustical Society of America ◽

10.1121/1.2211550 ◽

2006 ◽

Vol 120 (2) ◽

pp. 1012-1027 ◽

Cited By ~ 45

Author(s):

Tobias Wurzbacher ◽

Raphael Schwarz ◽

Michael Döllinger ◽

Ulrich Hoppe ◽

Ulrich Eysholdt ◽

...

Keyword(s):

Vocal Fold ◽

Model Based

Download Full-text

Nonlinear Vocal Fold Dynamics in a Two-Mass Model of Speech Arising From Asymmetric Intraglottal Flow

ASME 2011 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2011-53952 ◽

2011 ◽

Author(s):

Byron D. Erath ◽

Matías Zañartu ◽

Sean D. Peterson ◽

Michael W. Plesniak

Keyword(s):

Vocal Fold ◽

Vocal Tract ◽

Vocal Folds ◽

Attractive Alternative ◽

Nonlinear Phenomena ◽

Mass Model ◽

Sustained Oscillations ◽

Voiced Speech ◽

Subglottal Pressure ◽

Vocal Fold Dynamics

Voiced speech is initiated as air is expelled from the lungs and passes through the vocal tract inciting self-sustained oscillations of the vocal folds. While various approaches exist for investigating both normal and pathological speech, the relative inaccessibility of the vocal folds make multi-mass speech models an attractive alternative. Their behavior has been benchmarked with excised larynx experiments, and they have been used as analysis tools for both normal and disordered speech, including investigations of paralysis, vocal tremor, and breathiness. However, during pathological speech, vocal fold motion is often unstructured, resulting in chaotic motion and a wealth of nonlinear phenomena. Unfortunately, current methodologies for multi-mass speech models are unable to replicate the nonlinear vocal fold behavior that often occurs in physiological diseased voice for realistic values of subglottal pressure.

Download Full-text

Model based comparison of vocal fold dynamics between children and adults

The Journal of the Acoustical Society of America ◽

10.1121/1.4933633 ◽

2015 ◽

Vol 138 (3) ◽

pp. 1779-1779 ◽

Cited By ~ 1

Author(s):

Michael Döllinger ◽

Denis Dubrovskiy ◽

Eva Beck ◽

Rita Patel

Keyword(s):

Vocal Fold ◽

Model Based ◽

Vocal Fold Dynamics

Download Full-text

The influence of epilarynx area on vocal fold dynamics

Otolaryngology ◽

10.1016/j.otohns.2006.04.007 ◽

2006 ◽

Vol 135 (5) ◽

pp. 724-729 ◽

Cited By ~ 14

Author(s):

Michael Döllinger ◽

David A. Berry ◽

Douglas W. Montequin

Keyword(s):

Vocal Fold ◽

Vocal Fold Dynamics

Download Full-text

Normal Voice Production: Computation of Driving Parameters from Endoscopic Digital High Speed Images

Methods of Information in Medicine ◽

10.1055/s-0038-1634360 ◽

2003 ◽

Vol 42 (03) ◽

pp. 271-276 ◽

Cited By ~ 19

Author(s):

T. Braunschweig ◽

J. Lohscheller ◽

U. Eysholdt ◽

U. Hoppe ◽

M. Döllinger

Keyword(s):

Vocal Fold ◽

High Speed ◽

Biomechanical Model ◽

Vocal Folds ◽

Inversion Algorithm ◽

Knowledge Based ◽

Normal Voice ◽

Inversion Procedure ◽

High Speed Glottography

Summary Objectives: A central point for quantitative evaluation of pathological and healthy voices is the analysis of vocal fold oscillations. By means of digital High Speed Glottography (HGG), vocal fold oscillations can be recorded in real time. Recently, a numerical inversion procedure was developed that allows the extraction of physiological parameters from digital high speed videos and a classification of voice disorders. The aim of this work was to validate the inversion procedure and to investigate the applicability to normal voices. Methods: High speed recordings were performed during phonation within a group of five female and five male persons with normal voices. By using knowledge based image processing algorithms, motion curves of the vocal folds were extracted at three different positions (dorsal, medial, ventral). These curves were used to obtain physiological voice parameters, and in particular the degree of symmetry of the vocal folds based upon a biomechanical model of the vocal folds. Results: The highest degree of symmetry was observed for the medial motion curves. While the dor-sally and ventrally extracted motion curves exhibited similar results concerning the degree of symmetry the performance of the algorithm was less stable. Conclusions: The inversion algorithm provides reasonable results for all subjects when applied to the medial motion curves. However, for dorsal and ventral motion curves, correct performance is reduced to 85 %.

Download Full-text