%0 Journal Article %1 batliner2011whodunnit %A Batliner, Anton %A Steidl, Stefan %A Schuller, Björn %A Seppi, Dino %A Vogt, Thurid %A Wagner, Johannes %A Devillers, Laurence %A Vidrascu, Laurence %A Aharonson, Vered %A Kessous, Loic %A others, %D 2011 %I Elsevier %J Computer Speech & Language %K imported %N 1 %P 4--28 %T Whodunnit--searching for the most important feature types signalling emotion-related user states in speech %V 25

@article{batliner2011whodunnit, added-at = {2018-02-19T14:58:22.000+0100}, author = {Batliner, Anton and Steidl, Stefan and Schuller, Bj{\"o}rn and Seppi, Dino and Vogt, Thurid and Wagner, Johannes and Devillers, Laurence and Vidrascu, Laurence and Aharonson, Vered and Kessous, Loic and others}, bdsk-file-1 = {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}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20b3c3d690939dc19cd0d400b694e4117/michaelneumann}, date-added = {2018-02-14 10:54:32 +0000}, date-modified = {2018-02-14 10:54:32 +0000}, interhash = {50bf86b53bcc6d157824f1be7467af5b}, intrahash = {0b3c3d690939dc19cd0d400b694e4117}, journal = {Computer Speech \& Language}, keywords = {imported}, number = 1, pages = {4--28}, publisher = {Elsevier}, timestamp = {2018-02-19T13:58:22.000+0100}, title = {Whodunnit--searching for the most important feature types signalling emotion-related user states in speech}, volume = 25, year = 2011 }