%0 Conference Paper %1 rozgic2012ensemble %A Rozgic, Viktor %A Ananthakrishnan, Sankaranarayanan %A Saleem, Shirin %A Kumar, Rohit %A Prasad, Rohit %B Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific %D 2012 %K IEMOCAP, SVM, emotion multimodal recognition %P 1--4 %T Ensemble of SVM trees for multimodal emotion recognition %Z Method: Data: IEMOCAP use 5 categories: anger, happiness, sadness, excitement, neutral (5531 utt.) Results: 4-category classification: (merged exc. and happy) acoustic features: 60.9%

@inproceedings{rozgic2012ensemble, added-at = {2018-02-19T14:58:22.000+0100}, annote = {Method: Data: IEMOCAP use 5 categories: anger, happiness, sadness, excitement, neutral (5531 utt.) Results: 4-category classification: (merged exc. and happy) acoustic features: 60.9%}, author = {Rozgic, Viktor and Ananthakrishnan, Sankaranarayanan and Saleem, Shirin and Kumar, Rohit and Prasad, Rohit}, bdsk-file-1 = {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}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c281df351296757d917ae738d8f397ae/michaelneumann}, booktitle = {Signal \& Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific}, date-added = {2017-02-10 10:22:49 +0000}, date-modified = {2017-02-22 14:29:44 +0000}, interhash = {50b25141607dbf8ca034783e70f60101}, intrahash = {c281df351296757d917ae738d8f397ae}, keywords = {IEMOCAP, SVM, emotion multimodal recognition}, organization = {IEEE}, pages = {1--4}, timestamp = {2018-02-19T13:58:22.000+0100}, title = {Ensemble of SVM trees for multimodal emotion recognition}, year = 2012 }