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Cited by 6 publications
(1 citation statement)
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“…Interpreting the synchronization problem as a latent state estimation problem leads to Hidden Markov Models (HMMs) in their various forms [9], [32], [34], [39], [40]. Such models have been particularly popular in score-to-audio alignment tasks, as here each state intuitively corresponds to a note or a constellation of concurrent notes as specified by the score, while other assumptions about the music can be captured in higher-level HMM structures.…”
Section: Related Workmentioning
confidence: 99%
“…Interpreting the synchronization problem as a latent state estimation problem leads to Hidden Markov Models (HMMs) in their various forms [9], [32], [34], [39], [40]. Such models have been particularly popular in score-to-audio alignment tasks, as here each state intuitively corresponds to a note or a constellation of concurrent notes as specified by the score, while other assumptions about the music can be captured in higher-level HMM structures.…”
Section: Related Workmentioning
confidence: 99%