Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech

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

Volumn , Issue , 2014, Pages 970-974

  Cummins, Nicholas ^a,b   Epps, Julien ^a,b   Sethu, Vidhyasaharan ^a   Krajewski, Jarek ^c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

^c UNIVERSITY OF WUPPERTAL   (Germany)

Author keywords

Acoustic Variability; Depression; I vectors; Linear Discriminant Analysis; t Distributed Stochastic Neighbour Embedding; Within Class Covariance Normalisation

Indexed keywords

LINGUISTICS; SIGNAL PROCESSING; STOCHASTIC SYSTEMS;

ACOUSTIC VARIABILITY; DEPRESSION; I-VECTORS; LINEAR DISCRIMINANT ANALYSIS; NORMALISATION; T-DISTRIBUTED STOCHASTIC NEIGHBOUR EMBEDDING;

VECTORS;

EID: 84905275525     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6853741     Document Type: Conference Paper

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