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AVEC'19: Audio/Visual Emotion Challenge and Workshop

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Maja PanticAuthors Info & Claims

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

Pages 2718 - 2719

https://doi.org/10.1145/3343031.3350550

Published: 15 October 2019 Publication History

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Abstract

The ninth Audio-Visual Emotion Challenge and workshop AVEC 2019 was held in conjunction with ACM Multimedia'19. This year, the AVEC series addressed major novelties with three distinct tasks: State-of-Mind Sub-challenge (SoMS), Detecting Depression with Artificial Intelligence Sub-challenge (DDS), and Cross-cultural Emotion Sub-challenge (CES). The SoMS was based on a novel dataset (USoM corpus) that includes self-reported mood (10-point Likert scale) after the narrative of personal stories (two positive and two negative). The DDS was based on a large extension of the DAIC-WOZ corpus (c.f. AVEC 2016) that includes new recordings of patients suffering from depression with the virtual agent conducting the interview being, this time, wholly driven by AI, i.e., without any human intervention. The CES was based on the SEWA dataset (c.f. AVEC 2018) that has been extended with the inclusion of new participants in order to investigate how emotion knowledge of Western European cultures (German, Hungarian) can be transferred to the Chinese culture. In this summary, we mainly describe participation and conditions of the AVEC Challenge.

References

[1]

David DeVault, Ron Artstein, Grace Benn, Teresa Dey, Ed Fast, Alesia Gainer, Kallirroi Georgila, Jonathan Gratch, Arno Hartholt, Margaux Lhommet, Gale Lucas, Stacy Marsella, Fabrizio Morbini, Angela Nazarian, Stefan Scherer, Giota Stratou, Apar Suri, David Traum, Rachel Wood, Yuyu Xu, Alberto Rizzo, and Louis-Philippe Morency. 2014. SimSensei kiosk: A virtual human interviewer for healthcare decision support. In Proc. of AAMAS'14. ACM, Paris, France, 1061--1068.

Google Scholar

[2]

Fabien Ringeval and Björn Schuller and Michel Valstar and Nicholas Cummins and Roddy Cowie and Leili Tavabi and Maximilian Schmitt and Sina Alisamir and Shahin Amiriparian and Eva-Maria Messner and Siyang Song and Shuo Lui and Ziping Zhao and Adria Mallol-Ragolta and Zhao Ren, and Mohammad Soleymani, and Maja Pantic. 2019. AVEC 2019 Workshop and Challenge: State-of-Mind, Depression with AI, and Cross-Cultural Affect Recognition. In Proc. of AVEC'19, co-located with ACM MM 2019. ACM, Nice, France.

Google Scholar

[3]

Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Bjorn Schuller, Kam Star, Elnar Hajiyev, and Maja Pantic. 2019. SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild . https://arxiv.org/abs/1901.02839 . 17 pages.

Google Scholar

[4]

Eva-Maria Rathner, Yannik Terhorst, Nicholas Cummins, Björn Schuller, and Harald Baumeister. 2018. State of Mind: Classification through Self-reported Affect and Word Use in Speech. In Proc. of INTERSPEECH 2018. ISCA, Hyderabad, India, 267--271.

Crossref

Google Scholar

[5]

Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. 2015. AVEC 2015 -- The 5th International Audio/Visual Emotion Challenge and Workshop. In Proc. of ACM MM 2015. ACM, Brisbane, Australia, 1335--1336.

Google Scholar

[6]

Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. 2017. Summary for AVEC 2017 -- Real-life depression and affect challenge and workshop. In Proc. of ACM MM 2017. ACM, Mountain View, CA, USA, 1963--1964.

Google Scholar

[7]

Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. 2018. Summary for AVEC 2018: Bipolar disorder and cross-cultural affect recognition. In Proc. of ACM MM 2018. ACM, Seoul, Republic of Korea, 2111--2112.

Digital Library

Google Scholar

[8]

Björn Schuller, Michel Valstar, Florian Eyben, Roddy Cowie, and Maja Pantic. 2012. AVEC 2012 -- The continuous Audio/Visual Emotion Challenge. In Proc. of ICMI 2012. ACM, Santa Monica, CA, USA, 449--456.

Google Scholar

[9]

Björn Schuller, Michel Valstar, Florian Eyben, Gary McKeown, Roddy Cowie, and Maja Pantic. 2011. AVEC 2011 -- The First International Audio/Visual Emotion Challenge. In Proc. of ACII 2011, Vol. II. Springer, Memphis, TN, USA, 415--424.

Google Scholar

[10]

Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, and Maja Pantic. 2016. Summary for AVEC 2016: Depression, mood, and emotion recognition workshop and challenge. In Proc. of ACM MM 2016. ACM, Amsterdam, The Netherlands, 1483--1484.

Digital Library

Google Scholar

[11]

Michel Valstar, Björn Schuller, Jarek Krajewski, Roddy Cowie, and Maja Pantic. 2013. Workshop summary for the 3rd international Audio/Visual Emotion Challenge and workshop. In Proc. of ACM MM 2013. ACM, Barcelona, Spain, 1085--1086.

Google Scholar

[12]

Michel Valstar, Björn Schuller, Jarek Krajewski, Roddy Cowie, and Maja Pantic. 2014. AVEC 2014: The 4th international Audio/Visual Emotion Challenge and workshop. In Proc. of ACM MM 2014. ACM, Orlando, FL, USA, 1243--1244.

Google Scholar

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Firoz NBerestneva OAksyonov S(2024)Dual Layer Cogni - Insight Deep-Mood Encoder: A Two- Tiered Approach for Depression Detection2024 International Russian Smart Industry Conference (SmartIndustryCon)10.1109/SmartIndustryCon61328.2024.10516113(928-937)Online publication date: 25-Mar-2024
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Liz-López HKeita MTaleb-Ahmed AHadid AHuertas-Tato JCamacho D(2024)Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challengesInformation Fusion10.1016/j.inffus.2023.102103103(102103)Online publication date: Mar-2024
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Mamontov DZepf SKarpov AMinker W(2024)Cross-Cultural Automatic Depression Detection Based on Audio SignalsSpeech and Computer10.1007/978-3-031-77961-9_23(309-323)Online publication date: 25-Nov-2024
https://dl.acm.org/doi/10.1007/978-3-031-77961-9_23
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Index Terms

AVEC'19: Audio/Visual Emotion Challenge and Workshop
1. General and reference
  1. Cross-computing tools and techniques
    1. Performance

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Information

Published In

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

October 2019

2794 pages

ISBN:9781450368896

DOI:10.1145/3343031

General Chairs:
Laurent Amsaleg
CNRS-IRISA, France
,
Benoit Huet
EURECOM, France
,
Martha Larson
Radboud University and TU Delft (Netherlands)
,
Program Chairs:
Guillaume Gravier
CNRS-IRISA, France
,
Hayley Hung
Delft University of Technology Netherlands
,
Chong-Wah Ngo
City University of Hong Kong Hong Kong
,
Wei Tsang Ooi
National University of Singapore Singapore

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 15 October 2019

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MM '19

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SIGMM

MM '19: The 27th ACM International Conference on Multimedia

October 21 - 25, 2019

Nice, France

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MM '19 Paper Acceptance Rate 252 of 936 submissions, 27%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Firoz NBerestneva OAksyonov S(2024)Dual Layer Cogni - Insight Deep-Mood Encoder: A Two- Tiered Approach for Depression Detection2024 International Russian Smart Industry Conference (SmartIndustryCon)10.1109/SmartIndustryCon61328.2024.10516113(928-937)Online publication date: 25-Mar-2024
https://doi.org/10.1109/SmartIndustryCon61328.2024.10516113
Liz-López HKeita MTaleb-Ahmed AHadid AHuertas-Tato JCamacho D(2024)Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challengesInformation Fusion10.1016/j.inffus.2023.102103103(102103)Online publication date: Mar-2024
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Mamontov DZepf SKarpov AMinker W(2024)Cross-Cultural Automatic Depression Detection Based on Audio SignalsSpeech and Computer10.1007/978-3-031-77961-9_23(309-323)Online publication date: 25-Nov-2024
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Firoz NBeresteneva OAksyonov S(2023)Enhancing Depression Detection: Employing Autoencoders and Linguistic Feature Analysis with BERT and LSTM Model2023 International Russian Automation Conference (RusAutoCon)10.1109/RusAutoCon58002.2023.10272795(299-304)Online publication date: 10-Sep-2023
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Gupta RSinha R(2023)On the Automatic Detection of Comorbidity of Mental Disorders Using Audio-Visual Data2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)10.1109/REEDCON57544.2023.10151164(118-122)Online publication date: 1-May-2023
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Gupta RSinha R(2023)An Investigation on the Audio-Video Data Based Estimation of Emotion Regulation Difficulties and Their Association With Mental DisordersIEEE Access10.1109/ACCESS.2023.329709111(74324-74336)Online publication date: 2023
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Verde LCampanile LMarulli FMarrone S(2022)Speech-based Evaluation of Emotions-Depression Correlation2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927758(1-6)Online publication date: 12-Sep-2022
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Ray AKumar SReddy RMukherjee PGarg RRingeval FSchuller BValstar MCummins NCowie RPantic M(2019)Multi-level Attention Network using Text, Audio and Video for Depression PredictionProceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop10.1145/3347320.3357697(81-88)Online publication date: 15-Oct-2019
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AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

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AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Summary for AVEC 2018: Bipolar Disorder and Cross-Cultural Affect Recognition

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