Some approaches to best-match file searching
Communications of the ACM
Score following: state of the art and new developments
NIME '03 Proceedings of the 2003 conference on New interfaces for musical expression
Robust Radio Broadcast Monitoring Using a Multi-Band Spectral Entropy Signature
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
On musical performances identification, entropy and string matching
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
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Real time tracking of musical performances allows for implementation of virtual teachers of musical instruments, automatic accompanying of musicians or singers, and automatic adding of special effects in live presentations. State of the art approaches make a local alignment of the score (the target audio) and a musical performance, such procedure induce cumulative error since it assumes the rendition to be well tracked up to the current time. We propose searching for the k-nearest neighbors of the current audio segment among all audio segments of the score then use some heuristics to decide the current tracked position of the performance inside the score. We tested the method with 62 songs, some pop music but mostly classical. For each song we have two performances, we use one of them as the score and the other one as the music to be tracked with excellent results.