AV+EC 2015:首个跨越音频、视频和生理数据的情感识别挑战

F. Ringeval, Björn Schuller, M. Valstar, S. Jaiswal, E. Marchi, D. Lalanne, R. Cowie, M. Pantic
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引用次数: 180

摘要

我们提出了第一届视听+情感识别挑战和研讨会(AV+EC 2015),旨在比较自动音频,视觉和生理情感分析的多媒体处理和机器学习方法。这是AVEC系列的第五项活动,但却是第一次将音频、视频和生理数据结合起来的挑战。挑战的目标是为多模态信息处理提供一个通用的基准测试集,并将音频,视频和生理情感识别社区聚集在一起,在定义良好且严格可比的条件下比较三种情感识别方法的相对优点,并确定融合方法的可能性和有益程度。本文介绍了基线系统的挑战、数据集和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data
We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+EC 2015) aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and physiological emotion analysis. This is the 5th event in the AVEC series, but the very first Challenge that bridges across audio, video and physiological data. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the audio, video and physiological emotion recognition communities, to compare the relative merits of the three approaches to 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, the dataset and the performance of the baseline system.
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