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Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face.

, , , , , and . ITG Conference on Speech Communication, page 1-4. IEEE, (2012)

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Data-driven clustering in emotional space for affect recognition using discriminatively trained LSTM networks., , , , and . INTERSPEECH, page 1595-1598. ISCA, (2009)The INTERSPEECH 2012 Speaker Trait Challenge., , , , , , , , , and 2 other author(s). INTERSPEECH, page 254-257. ISCA, (2012)Emotion recognition using imperfect speech recognition., , , , , and . INTERSPEECH, page 478-481. ISCA, (2010)Affect recognition in real-life acoustic conditions - a new perspective on feature selection., , and . INTERSPEECH, page 2044-2048. ISCA, (2013)Using linguistic information to detect overlapping speech., , , , and . INTERSPEECH, page 690-694. ISCA, (2013)Robust in-car spelling recognition - a tandem BLSTM-HMM approach., , , , , and . INTERSPEECH, page 2507-2510. ISCA, (2009)Being bored? Recognising natural interest by extensive audiovisual integration for real-life application., , , , , , , , and . Image Vision Comput., 27 (12): 1760-1774 (2009)Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face., , , , , and . ITG Conference on Speech Communication, page 1-4. IEEE, (2012)Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks., , , , , and . ICASSP, page 2164-2168. IEEE, (2014)Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance., , and . ICASSP, page 7219-7223. IEEE, (2013)