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Variation of Facial Expression Produced by Acoustic Stimuli

机译:声刺激产生的面部表情变化

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In this paper we will present the analyzed results of an experiment that relates the facial expression with acoustic stimuli. Music therapy can be used for treating autistic children, diseases and disorders, software development and personalized musical systems [5]. Through the data obtained using iMotionsTM, the analyzed data was processed using MatlabTM and Excel. MatlabTM was used to analyze the raw data using the data analysis tools, in order to determine the impact of artificially synthesized versus human composed audios. The data was obtained from three experiments, each experiment had different conditions, each experiment had different number of participants, the length and type of audio segment changed for each experiment. The data obtained from these three experiments were analyzed using FACET of iMotionsTM. For the next stage we analyzed Neutral Emotion, the purpose of this analysis is of outmost importance for future stages for a proper development of a recurrent neural network to develop an algorithm to create music sequences, with potential therapeutic, educational and productivity improvement implementations.
机译:在本文中,我们将介绍将面部表情与声音刺激相关联的实验的分析结果。音乐疗法可用于治疗自闭症儿童,疾病和障碍,软件开发和个性化音乐系统[5]。通过使用iMotions获得的数据 TM ,使用Matlab处理分析的数据 TM 和Excel。 MatlabTM用于使用数据分析工具分析原始数据,以确定人工合成的音频与人工合成的音频的影响。数据是从三个实验中获得的,每个实验具有不同的条件,每个实验具有不同的参与者数量,每个实验的音频片段的长度和类型都发生了变化。使用iMotions的FACET分析了从这三个实验获得的数据 TM 。对于下一阶段,我们分析了中性情绪,此分析的目的对于正确开发递归神经网络,开发算法来创建音乐序列,并具有潜在的治疗,教育和生产力改善效果的未来阶段至关重要。

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