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Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music

机译:音乐情绪可以用神经抖动还是闪光量化?基于新欧士的古老古典音乐研究

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The term jitter and shimmer has long been used in the domain of speech and acoustic signal analysis as a parameter for speaker identification and other prosodic features. In this study, we look forward to use the same parameters in neural domain to identify and categorize emotional cues in different musical clips. For this, we chose two ragas of Hindustani music which are conventionally known to portray contrast emotions and EEG study was conducted on 5 participants who were made to listen to 3 min clip of these two ragas with sufficient resting period in between. The neural jitter and shimmer components were evaluated for each experimental condition. The results reveal interesting information regarding domain specific arousal of human brain in response to musical stimuli and also regarding trait characteristics of an individual. This novel study can have far reaching conclusions when it comes to modeling of emotional appraisal. The results and implications are discussed in detail.
机译:吉特和闪光灯长期以来,在语音和声学信号分析领域中使用作为扬声器识别和其他韵律特征的参数。在这项研究中,我们期待在神经域中使用相同的参数来识别和分类不同音乐剪辑中的情绪线索。为此,我们选择了两种ragustani音乐的ragas,它传统上称为对比情绪和脑电图研究是在5名参与者上进行的,他们在这两种ragas的3分钟内接听了这两个ragas的3分钟的剪辑。针对每个实验条件评价神经抖动和闪光组分。结果揭示了有关人类大脑的域特异性唤醒的有趣信息,以应对个体的特征特征。当涉及到情绪评估的建模时,这项新颖的研究可以得出迄今为止结论。结果和含义是详细讨论的。

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