DocumentCode :
1754514
Title :
Combining Multiobjective Optimization and Cluster Analysis to Study Vocal Fold Functional Morphology
Author :
Palaparthi, Anil ; Riede, Tobias ; Titze, Ingo R.
Author_Institution :
Nat. Center for Voice & Speech, Univ. of Utah, Salt Lake City, UT, USA
Volume :
61
Issue :
7
fYear :
2014
fDate :
41821
Firstpage :
2199
Lastpage :
2208
Abstract :
Morphological design and the relationship between form and function have great influence on the functionality of a biological organ. However, the simultaneous investigation of morphological diversity and function is difficult in complex natural systems. We have developed a multiobjective optimization (MOO) approach in association with cluster analysis to study the form-function relation in vocal folds. An evolutionary algorithm (NSGA-II) was used to integrate MOO with an existing finite element model of the laryngeal sound source. Vocal fold morphology parameters served as decision variables and acoustic requirements (fundamental frequency, sound pressure level) as objective functions. A two-layer and a three-layer vocal fold configuration were explored to produce the targeted acoustic requirements. The mutation and crossover parameters of the NSGA-II algorithm were chosen to maximize a hypervolume indicator. The results were expressed using cluster analysis and were validated against a brute force method. Results from the MOO and the brute force approaches were comparable. The MOO approach demonstrated greater resolution in the exploration of the morphological space. In association with cluster analysis, MOO can efficiently explore vocal fold functional morphology.
Keywords :
bioacoustics; biological organs; evolutionary computation; finite element analysis; medical computing; optimisation; pattern clustering; speech; statistical analysis; biological organ functionality; brute force method; cluster analysis; complex natural systems; crossover parameters; decision variables; evolutionary algorithm NSGA-II; finite element model; form-function relation; fundamental frequency; hypervolume indicator maximization; laryngeal sound source; morphological design; morphological diversity; multiobjective optimization approach; mutation; objective functions; sound pressure level; targeted acoustic requirements; three-layer vocal fold configuration; two-layer vocal fold configuration; vocal fold functional morphology; vocal fold morphology parameters; vocal folds; Acoustics; Finite element analysis; Linear programming; Morphology; Optimization; Oscillators; Statistics; Multiobjective optimization; myo-elastic-aerodynamic theory of voice production; source-filter theory; vocal fold functional morphology; voice physiology;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2014.2319194
Filename :
6803884
Link To Document :
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