An Intelligent Data Repository Consolidating Artifacts of Music Learning

This paper presents current and ongoing developments towards the implementation of a web-based data repository that is tailored to the needs of networked mediated music education. The repository consolidates digital artifacts that are generated, shared, and negotiated during music learning sessions, which include asynchronous student or teacher interactions, as well as synchronous collaborative online music lessons. These artifacts are represented either as sound files or as symbolic music notation files in various ascii-based formats. The repository provides basic functionalities, such as sharing artifacts through e-learning platforms, as well as rendering and processing them during learning sessions. A distinct focus of this research concerns the integration of intelligent functionalities for sound analysis, description, and processing with the aim of providing efficient mechanisms for search, retrieval, and data exploration.