Early prediction of major depression in adolescents using glottal wave characteristics and Teager Energy parameters

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 4613-4616

  Ooi, Kuan Ee Brian ^a   Low, Lu Shih Alex ^a   Lech, Margaret ^a   Allen, Nicholas ^b  

^a RMIT UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

adolescents; Clinical depression; glottal parameters; prediction; speech acoustics

Indexed keywords

ACOUSTIC SPEECH; ADOLESCENTS; AUTOMATED DETECTION; BINARY CLASSIFICATION; CLASSIFICATION SYSTEM; CLINICAL DEPRESSION; EARLY PREDICTION; ENERGY FEATURE; ENERGY PARAMETERS; FREQUENCY RANGES; GLOTTAL PARAMETERS; PROOF OF CONCEPT; SPEECH ACOUSTICS; TIME-PERIODS; WAVE CHARACTERISTICS;

SIGNAL PROCESSING; SPEECH ANALYSIS;

FORECASTING;

EID: 84867604312     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288946     Document Type: Conference Paper

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