Songle: A Web Service for Active Music Listening Improved by User Contributions
Songle: A Web Service for Active Music Listening Improved by User Contributions
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Songle：通过用户贡献改进的用于主动聆听音乐的 Web 服务
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Tomoyasu Nakano
中科院分区：
文献类型：
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作者：
Masataka Goto;Kazuyoshi Yoshii;Hiromasa Fujihara;Matthias Mauch;Tomoyasu Nakano
本文介绍了一种用于主动音乐聆听的公共web服务——Songle，它利用基于信号处理的音乐理解技术丰富了音乐聆听体验。尽管各种研究级的接口和技术已经开发出来，但要让人们在日常生活中使用它们并不容易。Songle作为一个展示平台，展示了人们如何从音乐理解技术中受益，让人们能够在网络上体验活跃的音乐收听界面。Songle通过将自动估计的音乐场景描述可视化，如音乐结构、分层节拍结构、旋律线和和弦，有助于更深入地理解音乐。然而，当使用音乐理解技术时，估计误差是不可避免的。因此，Songle提供了一个有效的错误纠正界面，鼓励人们通过纠正这些错误来改进web服务。我们还提出了一种音乐理解技术的协作训练机制，其中通过机器学习技术，使用纠正的错误来提高音乐理解性能。我们希望Songle能成为一个研究平台，让其他研究者展示他们的音乐理解技术成果，共同推动音乐信息研究领域的普及。
This paper describes a public web service for active music listening, Songle, that enriches music listening experiences by using music-understanding technologies based on signal processing. Although various research-level interfaces and technologies have been developed, it has not been easy to get people to use them in everyday life. Songle serves as a showcase to demonstrate how people can benefit from music-understanding technologies by enabling people to experience active music listening interfaces on the web. Songle facilitates deeper understanding of music by visualizing music scene descriptions estimated automatically, such as music structure, hierarchical beat structure, melody line, and chords. When using music-understanding technologies, however, estimation errors are inevitable. Songle therefore features an efficient error correction interface that encourages people to contribute by correcting those errors to improve the web service. We also propose a mechanism of collaborative training for music-understanding technologies, in which corrected errors will be used to improve the music-understanding performance through machine learning techniques. We hope Songle will serve as a research platform where other researchers can exhibit results of their music-understanding technologies to jointly promote the popularization of the field of music information research.