AVEC 2016 – Depression, mood, and emotion recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all p...
| Main Authors: | , , , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/50028/ |
| _version_ | 1848798133183578112 |
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| author | Valstar, Michel F. Gratch, Jonathan Schuller, Björn Ringeval, Fabien Lalanne, Denis Torres, Mercedes Torres Scherer, Stefan Stratou, Giota Cowie, Roddy Pantic, Maja |
| author_facet | Valstar, Michel F. Gratch, Jonathan Schuller, Björn Ringeval, Fabien Lalanne, Denis Torres, Mercedes Torres Scherer, Stefan Stratou, Giota Cowie, Roddy Pantic, Maja |
| author_sort | Valstar, Michel F. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all participants competing under strictly the same conditions. The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio, video and physiological processing communities, to compare the relative merits of the various approaches to depression and emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks. |
| first_indexed | 2025-11-14T20:14:55Z |
| format | Conference or Workshop Item |
| id | nottingham-50028 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:14:55Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-500282018-03-01T06:32:58Z https://eprints.nottingham.ac.uk/50028/ AVEC 2016 – Depression, mood, and emotion recognition workshop and challenge Valstar, Michel F. Gratch, Jonathan Schuller, Björn Ringeval, Fabien Lalanne, Denis Torres, Mercedes Torres Scherer, Stefan Stratou, Giota Cowie, Roddy Pantic, Maja The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological depression and emotion analysis, with all participants competing under strictly the same conditions. The goal of the Challenge is to provide a common benchmark test set for multi-modal information processing and to bring together the depression and emotion recognition communities, as well as the audio, video and physiological processing communities, to compare the relative merits of the various approaches to depression and emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. This paper presents the challenge guidelines, the common data used, and the performance of the baseline system on the two tasks. 2016-10-16 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/50028/1/1605.01600.pdf Valstar, Michel F., Gratch, Jonathan, Schuller, Björn, Ringeval, Fabien, Lalanne, Denis, Torres, Mercedes Torres, Scherer, Stefan, Stratou, Giota, Cowie, Roddy and Pantic, Maja (2016) AVEC 2016 – Depression, mood, and emotion recognition workshop and challenge. In: Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 16 Oct 2016, Amsterdam, Netherlands. Affective Computing Emotion Recognition Speech Facial Expression Physiological signals Challenge doi:10.1145/2988257.2988258 |
| spellingShingle | Affective Computing Emotion Recognition Speech Facial Expression Physiological signals Challenge Valstar, Michel F. Gratch, Jonathan Schuller, Björn Ringeval, Fabien Lalanne, Denis Torres, Mercedes Torres Scherer, Stefan Stratou, Giota Cowie, Roddy Pantic, Maja AVEC 2016 – Depression, mood, and emotion recognition workshop and challenge |
| title | AVEC 2016 – Depression, mood, and emotion recognition
workshop and challenge |
| title_full | AVEC 2016 – Depression, mood, and emotion recognition
workshop and challenge |
| title_fullStr | AVEC 2016 – Depression, mood, and emotion recognition
workshop and challenge |
| title_full_unstemmed | AVEC 2016 – Depression, mood, and emotion recognition
workshop and challenge |
| title_short | AVEC 2016 – Depression, mood, and emotion recognition
workshop and challenge |
| title_sort | avec 2016 – depression, mood, and emotion recognition
workshop and challenge |
| topic | Affective Computing Emotion Recognition Speech Facial Expression Physiological signals Challenge |
| url | https://eprints.nottingham.ac.uk/50028/ https://eprints.nottingham.ac.uk/50028/ |