Abstract:Audio analysis algorithms and frameworks for Music Information Retrieval (MIR) are expanding rapidly, providing new ways to garnish non-trivial information from audio sources, beyond that which can be ascertained from unreliable metadata such as ID3 tags. The analysis component of MIR requires extensive computational resources. MIR is a broad field, and many aspects of the algorithms and analysis components that are used are more accurate given a larger dataset for analysis, and is often quite DSP/CPU intensive. A Desktop Grid based implementation would reduce computation time and provide access to potentially thousands of MP3 files on target machines, where the files analysed locally on clients’ machines, transferring back only the metadata/results of the analysis. This avoids legal issues, and saves bandwidth.
The application was ported within the framework of the FP7 EDGeS project.