论文标题
微调WAV2VEC，用于人声 - 激烈的情感识别
Fine-tuning Wav2vec for Vocal-burst Emotion Recognition
论文作者
论文摘要
ACII情感声音爆发（A-VB）竞争引入了情感计算中的一个新主题，该主题是使用人类的非语言声音理解情感表达。我们熟悉通过言语或面部表情的情感识别。但是，即使笑声，哭泣和迹象之类的声音爆发也没有被剥削，即使它们非常有用的行为分析。 A-VB竞赛包括四个任务，这些任务探讨了不同空间中的非语言信息。该技术报告描述了Sclabcnu团队在挑战任务中的方法和结果。与组织者提供的基线模型相比，我们取得了令人鼓舞的结果。
The ACII Affective Vocal Bursts (A-VB) competition introduces a new topic in affective computing, which is understanding emotional expression using the non-verbal sound of humans. We are familiar with emotion recognition via verbal vocal or facial expression. However, the vocal bursts such as laughs, cries, and signs, are not exploited even though they are very informative for behavior analysis. The A-VB competition comprises four tasks that explore non-verbal information in different spaces. This technical report describes the method and the result of SclabCNU Team for the tasks of the challenge. We achieved promising results compared to the baseline model provided by the organizers.
