通过熟悉度和大脑反应揭示流行音乐偏好
Revealing Preference in Popular Music Through Familiarity and Brain Response
摘要：
据报道，音乐偏好是一个因素，它可以引起内心的音乐情感，需要准确的地面实况数据和音乐治疗的效率。本研究透过熟悉度、响应时间（反应率）及脑电反应（EEG），以探讨音乐偏好的差异。20名受试者在听了两种类型的流行音乐的合唱部分：没有歌词的音乐（旋律）和有歌词的音乐（歌曲）后进行自我评估。\textcolor{red}{We then conduct a music preference classification using a support vector machine, random forest, and k-nearest neighbors with the familiarity scores, the response rates, and EEG as the feature vectors. The statistical analysis and F1-score of EEG are congruent, which is the brain's right side outperformed its left side in classification performance.}最后，这些行为和大脑的研究支持，偏好，熟悉度和反应率可以有助于音乐情感实验的设计，以了解音乐，情感和听众。不仅对音乐行业，生物医学和医疗保健行业也可以利用这个实验来收集患者的数据，以提高音乐治疗的效率。
英文摘要：
Music preference was reported as a factor, which could elicit innermost music emotion, entailing accurate ground-truth data and music therapy efficiency. This study executes statistical analysis to investigate the distinction of music preference through familiarity scores, response times (response rates), and brain response (EEG). Twenty participants did self-assessment after listening to two types of popular music's chorus section: music without lyrics (Melody) and music with lyrics (Song). \textcolor{red}{We then conduct a music preference classification using a support vector machine, random forest, and k-nearest neighbors with the familiarity scores, the response rates, and EEG as the feature vectors. The statistical analysis and F1-score of EEG are congruent, which is the brain's right side outperformed its left side in classification performance.} Finally, these behavioral and brain studies support that preference, familiarity, and response rates can contribute to the music emotion experiment's design to understand music, emotion, and listener. Not only to the music industry, the biomedical and healthcare industry can also exploit this experiment to collect data from patients to improve the efficiency of healing by music.
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