We need your help. For several years scientists have been trying to extract meaningful information about music directly from the audio data in a track. Encouraged by successes in automatic speech recognition, for a while researchers hoped that it would be fairly easy for a computer to analyze an audio track and transcribe it directly to sheet music notation, recognising instruments, voices, and all the notes they were playing.
This was quickly found to be a much harder problem than expected, and a new field of research grew out of the failure to conquer this challenge.
Since then scientists have battled to recognise specific aspects of a song, such as its tempo, key, harmony, rhythm, instrumentation, or even just its genre, by analyzing its audio content. Starting in 2004, this battle has been formalised into an annual competition called MIREX.
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