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首页> 外文期刊>Paladyn: Journal of Behavioral Robotics >A Methodology for Recognition of Emotions Based on Speech Analysis, for Applications to Human-Robot Interaction. An Exploratory Study
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A Methodology for Recognition of Emotions Based on Speech Analysis, for Applications to Human-Robot Interaction. An Exploratory Study

机译：一种基于语音分析的情绪识别方法，应用于人机交互。探索性研究

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A system for recognition of emotions based on speech analysis can have interesting applications in human-robot interaction. In this paper, we carry out an exploratory study on the possibility to use a proposed methodology to recognize basic emotions (sadness, surprise, happiness, anger, fear and disgust) based on phonetic and acoustic properties of emotive speech with the minimal use of signal processing algorithms. We set up an experimental test, consisting of choosing three types of speakers, namely: (i) five adult European speakers, (ii) five Asian (Middle East) adult speakers and (iii) five adult American speakers. The speakers had to repeat 6 sentences in English (with durations typically between 1 s and 3 s) in order to emphasize rising-falling intonation and pitch movement. Intensity, peak and range of pitch and speech rate have been evaluated. The proposed methodology consists of generating and analyzing a graph of formant, pitch and intensity, using the open-source PRAAT program. From the experimental results, it was possible to recognize the basic emotions in most of the cases
机译：基于语音分析的情绪识别系统可以在人机交互中具有有趣的应用。在本文中，我们进行了一项探索性研究，即使用情感分析方法，以最少的信号使用量，根据情绪语音的语音和声学特性，使用提议的方法识别基本情绪（悲伤，惊奇，幸福，愤怒，恐惧和厌恶）的可能性。处理算法。我们进行了一项实验测试，包括选择三种类型的发言者，即：（i）五名欧洲成人发言者，（ii）五名亚洲（中东）成人发言者和（iii）五名美国成人发言者。演讲者必须重复用英语讲6句话（持续时间通常在1 s和3 s之间），以强调上下调和音调的变化。评估了音调，语速的强度，峰值和范围。所提出的方法包括使用开源PRAAT程序生成和分析共振峰，螺距和强度的图形。从实验结果来看，在大多数情况下可以识别基本情绪

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