@inproceedings{26507e5b53944f60940095314554fe8e,
title = "Fast bayesian NMF algorithms enforcing harmonicity and temporal continuity in polyphonic music transcription",
abstract = "This article presents theoretical and experimental results about constrained non-negative matrix factorization (NMF) in a Bayesian framework, enforcing both spectral harmonicity and temporal continuity. We exhibit fast multiplicative update rules to perform the decomposition, which are then applied to perform polyphonic piano music transcription. This approach is shown to outperform other standard NMF-based transcription systems, providing a meaningful mid-level representation of the data.",
keywords = "Audio source separation, Bayesian regression, Music transcription, Non-negative Matrix Factorization (NMF)",
author = "Nancy Bertin and Roland Badeau and Emmanuel Vincent",
year = "2009",
month = dec,
day = "1",
doi = "10.1109/ASPAA.2009.5346531",
language = "English",
isbn = "9781424436798",
series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
pages = "29--32",
booktitle = "2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009",
note = "2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 ; Conference date: 18-10-2009 Through 21-10-2009",
}