The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge
Open accessAbstract
The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) "Real-life depression, and affect" will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual 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 multimodal information processing and to bring together the depression and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of the various approaches to depression and emotion recognition from real-life data. This paper presents the novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline system on the two proposed tasks: dimensional emotion recognition (time and value-continuous), and dimensional depression estimation (value-continuous).
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The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
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Self-citationOpenFace: An open source facial behavior analysis toolkit
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Recent developments in openSMILE, the munich open-source multimedia feature extractor
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Self-citationA review of depression and suicide risk assessment using speech analysis
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Self-citationCOVAREP — A collaborative voice analysis repository for speech technologies
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AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge
Valstar, M., Gratch, J., Schuller, B., Ringeval, F., Lalanne, D., Torres Torres, M., Scherer, S., Stratou, G., Cowie, R., & Pantic, M. (2016) · Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge · doi:10.1145/2988257.2988258 · Cited by 503
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Ringeval, F., Schuller, B., Valstar, M., Cummins, N., Cowie, R., Tavabi, L., Schmitt, M., Alisamir, S., Amiriparian, S., Messner, E.-M., et al. (2019) · Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop · doi:10.1145/3347320.3357688 · Cited by 409
Self-citationDeep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Kollias, D., Tzirakis, P., Nicolaou, M. A., Papaioannou, A., Zhao, G., Schuller, B., Kotsia, I., & Zafeiriou, S. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-019-01158-4 · Cited by 377
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Metadata
- Authors
- Ringeval, F., Schuller, B., Valstar, M., Gratch, J., Cowie, R., Scherer, S., Mozgai, S., Cummins, N., Schmitt, M., & Pantic, M.
- Venue
- Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge
- Publisher
- ACM
- Published
- 2017-10-23
- Pages
- 3-9
- OpenAlex
- W2751214333
- Cited by
- 332
- References
- 31
- FWCI
- 44.10
- Type
- conference paper
- Language
- fr
- Open access
- green
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- Ringeval, F., Schuller, B., Valstar, M., Gratch, J., Cowie, R., Scherer, S., Mozgai, S., Cummins, N., Schmitt, M., & Pantic, M. (2017). AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge. https://doi.org/10.1145/3133944.3133953
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