Social Media Retrieval for Music Education
نویسندگان
چکیده
Advances in content-based multimedia analysis, recommender systems and Web-based social platforms for content and metadata sharing provide opportunities to create novel applications for music education. In this paper we describe a framework for intelligent music tutoring systems, through the combined use of content and context-based approaches. First, we investigate traditional computer-assisted music education applications, and review music information retrieval and Web technologies relevant to social media retrieval and music education. We discuss semantic aspects of these technologies and the use of ontologies as common grounds for structuring heterogeneous information available on the Web and from machine analyses. The importance of multimodality in music education tools is highlighted before we discuss how the reviewed technologies and information resources may be combined in interactive tools for music learning, for instance, a tool for searching the Web for guitar tablatures and YouTube video tutorials.
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