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


Variations in the acoustic space due to changes in speaker mental state are potentially overshadowed by variability due to speaker identity and phonetic content. Using the Audio/Visual Emotion Challenge and Workshop 2013 Depression Dataset we explore the suitability of i-vectors for reducing these latter sources of variability for distinguishing between low… (More)
DOI: 10.1109/ICASSP.2014.6853741


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Citations per Year

Citation Velocity: 11

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