Classification of varying length time series using example-specific adapted Gaussian mixture models and support vector machines

2010 International Conference on Signal Processing and Communications, SPCOM 2010

Volumn , Issue , 2010, Pages

  Chandrakala, S ^a   Chandra Sekhar, C ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO CLIPS; CLASSIFICATION PERFORMANCE; CLASSIFICATION TASKS; DISCRIMINATIVE MODELS; FEATURE VECTORS; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODEL - UNIVERSAL BACKGROUND MODEL; HYBRID FRAMEWORK; LOG LIKELIHOOD; LONG DURATION; SPEECH EMOTION RECOGNITION; TEST PATTERN; TRAINING DATA SETS; TRAINING SETS; VECTOR REPRESENTATIONS;

BLIND SOURCE SEPARATION; CLASSIFIERS; COMMUNICATION CHANNELS (INFORMATION THEORY); GAUSSIAN DISTRIBUTION; GEARS; OBJECT RECOGNITION; SIGNAL PROCESSING; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; TIME SERIES;

VECTORS;

EID: 77958474665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPCOM.2010.5560502     Document Type: Conference Paper

References (14)

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