Document Detail


Vocal folds disorder detection using pattern recognition methods.
MedLine Citation:
PMID:  18002689     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Diagnosis of pathological voice is one of the most important issues in biomedical applications of speech technology. This study focuses on the classification of pathological voice using the HMM(Hidden Markov Model), the GMM(Gaussian Mixture Model) and a SVM (Support Vector Machine), and then compares the results to work done previously using an ANN (Artificial Neural Network). Speech data were collected from those without and those with vocal disorders. Normal and pathological speech data were mixed in out experiment. Six characteristic parameters (Jitter, Shimmer, NHR, SPI, APQ and RAP) were chosen. Then the pattern recognition methods (HMM, GMM and SVM) were used to distinguish the mixed data into categories of normal and pathological speech. We found that the GMM-based method can give us superior classification rates compared to the other classification methods.
Authors:
Jianglin Wang; Cheolwoo Jo
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-03-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3253-6     Citation Subset:  IM    
Affiliation:
SASPL, Changwon National University, Changwon, Korea 641-773.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artificial Intelligence*
Diagnosis, Computer-Assisted / methods*
Humans
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Sound Spectrography / methods*
Speech Disorders / diagnosis*,  etiology
Speech Production Measurement / methods*
Vocal Cord Paralysis / complications,  diagnosis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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