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PepMusic: motivational qualities of songs for daily activities

机译：Pepmusic：日常活动歌曲的动机品质

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Music can motivate many daily activities as it can regulate mood, increase productivity and sports performance, and raise spirits. However, we know little about how to recommend songs that are motivational for people given their contexts and activities. As a first step towards dealing with this issue, we adopt a theory-driven approach and operationalize the Brunel Music Rating Inventory (BMRI) to identify motivational qualities of music from the audio signal. When we look at frequently listened songs for 14 common daily activities through the lens of motivational music qualities, we find that they are clustered into three high-level latent activity groups: calm, vibrant, and intense. We show that our BMRI features can accurately classify songs in the three classes, thus enabling tools to select and recommend activity-specific songs from existing music libraries without any input required from user. We present the results of a preliminary user evaluation of our song recommender (called PepMusic) and discuss the implications for recommending songs for daily activities.
机译：音乐可以激励许多日常活动，因为它可以调节心情，提高生产力和运动性能，并提高精神。但是，我们很少了解如何推荐给予人们的上下文和活动的激励歌曲。作为处理此问题的第一步，我们采用理论驱动方法，并运作Brunel音乐评级库存（BMRI），以识别来自音频信号的音乐的动力质量。当我们通过激励音乐品质的镜头看一下14个常见日常活动的经常听歌曲时，我们发现它们被聚集成三个高级潜在活动组：平静，充满活力和激烈。我们表明我们的BMRI功能可以准确地对三类中的歌曲进行分类，从而使工具能够从现有音乐库中选择和推荐特定于活动的歌曲，而无需用户所需的任何输入。我们介绍了我们歌曲推荐人（称为Pepmusic）的初步用户评估的结果，并讨论了为建议日常活动歌曲的影响。

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