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Being bored? Recognising natural interest by extensive audiovisual integration for real-life application., , , , , , , , and . Image Vision Comput., 27 (12): 1760-1774 (2009)Data-driven clustering in emotional space for affect recognition using discriminatively trained LSTM networks., , , , and . INTERSPEECH, page 1595-1598. ISCA, (2009)Robust in-car spelling recognition - a tandem BLSTM-HMM approach., , , , , and . INTERSPEECH, page 2507-2510. ISCA, (2009)The INTERSPEECH 2012 Speaker Trait Challenge., , , , , , , , , and 2 other author(s). INTERSPEECH, page 254-257. ISCA, (2012)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)Emotion recognition using imperfect speech recognition., , , , , and . INTERSPEECH, page 478-481. ISCA, (2010)Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face., , , , , and . ITG Conference on Speech Communication, page 1-4. IEEE, (2012)Deep neural networks for acoustic emotion recognition: Raising the benchmarks., , , , , and . ICASSP, page 5688-5691. IEEE, (2011)Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance., , and . ICASSP, page 7219-7223. IEEE, (2013)