首页> 外文会议>Helenic Conference on Artificial Intelligence(AI),(SETN 2006); 20060518-20; Heraklion(GR) >Employing Fujisaki's Intonation Model Parameters for Emotion Recognition
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Employing Fujisaki's Intonation Model Parameters for Emotion Recognition

机译:利用藤崎的语调模型参数进行情绪识别

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摘要

In this paper we are introducing the employment of features extracted from Fujisaki's parameterization of pitch contour for the task of emotion recognition from speech. In evaluating the proposed features we have trained a decision tree inducer as well as the instance based learning algorithm. The datasets utilized for training the classification models, were extracted from two emotional speech databases. Fujisaki's parameters benefited all prediction models with an average raise of 9,52% in the total accuracy.
机译:在本文中,我们将介绍从藤崎的音调轮廓参数化中提取的特征用于语音情感识别的任务。在评估提出的功能时,我们已经训练了决策树诱导器以及基于实例的学习算法。从两个情感语音数据库中提取了用于训练分类模型的数据集。藤崎的参数使所有预测模型受益,总准确度平均提高了9.52%。

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