Comparison of Neural Networks and Support Vector Machines applied to optimized features extracted from patients' speech signal for classification of vocal fold inflammation

Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology

Volumn 2005, Issue , 2005, Pages 844-849

  Behroozmand, Roozbeh ^a   Almasganj, Farshad ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Edema; Genetic algorithm; MFCC; Neural Networks; Nodules; Polyp; Support Vector Machine; Vocal fold pathology; Wavelet packet

Indexed keywords

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; WAVELET TRANSFORMS;

EDEMA; NODULES; POLYP; SUPPORT VECTOR MACHINES; VOCAL FOLD PATHOLOGY; WAVELET PACKET;

SPEECH ANALYSIS;

EID: 33846961105     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2005.1577209     Document Type: Conference Paper

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