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@inproceedings{TSD2009,

title = {Analysis and assessment of AvID: multi-modal emotional database},

author = {Rok Gajšek and Vitomir Štruc and Boštjan Vesnicer and Anja Podlesek and Luka Komidar and France Mihelič},

url = {https://lmi.fe.uni-lj.si/en/analysisandassessmentofavidmulti-modalemotionaldatabase/},

year  = {2009},

date = {2009-01-01},

urldate = {2009-01-01},

booktitle = {Text, speech and dialogue / 12th International Conference},

volume = {5729},

pages = {266-273},

publisher = {Springer-Verlag},

address = {Berlin, Heidelberg},

series = {Lecture Notes on Computer Science},

abstract = {The paper deals with the recording and the evaluation of a multi modal (audio/video) database of spontaneous emotions. Firstly, motivation for this work is given and different recording strategies used are described. Special attention is given to the process of evaluating the emotional database. Different kappa statistics normally used in measuring the agreement between annotators are discussed. Following the problems of standard kappa coefficients, when used in emotional database assessment, a new time-weighted free-marginal kappa is presented. It differs from the other kappa statistics in that it weights each utterance's particular score of agreement based on the duration of the utterance. The new method is evaluated and the superiority over the standard kappa, when dealing with a database of spontaneous emotions, is demonstrated.},

keywords = {avid database, database, emotion recognition, multimodal database, speech, speech technologies},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JJ2008,

title = {AvID: audio-video emotional database},

author = {Rok Gajšek and Anja Podlesek and Luka Komidar and Grekor Sočan and Boštjan Bajec and Vitomir Štruc and Valentin Bucik and France Mihelič},

year  = {2008},

date = {2008-01-01},

booktitle = {Proceedings of the 11th International Multi-conference Information Society (IS'08)},

volume = {C},

pages = {70-74},

address = {Ljubljana, Slovenia},

keywords = {database, dataset, emotion recognition, facial expression recognition, multimodal database, speech technology, spontaneous emotions},

pubstate = {published},

tppubtype = {inproceedings}

}