言语情感识别:一个课堂实验

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference Pub Date : 2018-06-26 DOI:10.1145/3197768.3197782

Rozalia Nikopoulou, I. Vernikos, E. Spyrou, Phivos Mylonas

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引用次数: 2

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Emotion Recognition from Speech: A Classroom Experiment

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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Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

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