Emotion Recognition from Speech: A Classroom Experiment

Rozalia Nikopoulou, I. Vernikos, E. Spyrou, Phivos Mylonas
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引用次数: 2

Abstract

In this position paper we present an approach for the recognition of emotions from speech. Our goal is to understand the affective state of learners upon a learning process. We propose an approach that uses visual representations of the spectrum of audio segments, which are classified using the Bag-of-Visual Words model. Our approach is applied on a real-life dataset that contains interviews from middle-school students, collected upon a classroom experiment.
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言语情感识别:一个课堂实验
在这篇论文中,我们提出了一种从语音中识别情感的方法。我们的目标是了解学习者在学习过程中的情感状态。我们提出了一种使用音频片段频谱的视觉表示的方法,这些音频片段使用视觉词袋模型进行分类。我们的方法应用于一个真实的数据集,该数据集包含来自中学生的访谈,收集自课堂实验。
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