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- W2400745462 abstract "We present a system that listens to music on-line and almost instantly identifies the piece the performers are playing and the exact position in the musical score. This is achieved via a combination of a state-of-the-art audio-to-note transcription algorithm and a novel symbolic fingerprinting method. The speed and precision of the system are evaluated in systematic experiments with a large corpus of classical music recordings. The results indicate extremely fast and accurate recognition performance — a level of performance, in fact, that even human experts in classical music will find hard to match." @default.
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- W2400745462 date "2012-08-27" @default.
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- W2400745462 title "Towards a complete classical music companion" @default.
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- W2400745462 doi "https://doi.org/10.3233/978-1-61499-098-7-67" @default.
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