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Automatic transcription of piano music based on HMM tracking of jointly-estimated pitches

Abstract : This work deals with the automatic transcription of piano recordings into a MIDI symbolic file. The system consists of subsequent stages of onset detection and multipitch estimation and tracking. The latter is based on a Hidden Markov Model framework, embedding a spectral maximum likelihood method for joint pitch estimation. The complexity issue of joint estimation techniques is solved by selecting subsets of simultaneously played notes within a pre-estimated set of candidates. Tests on a large database and comparisons to state-of-the-art methods show promising results.
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https://hal.inria.fr/inria-00452620
Contributor : Valentin Emiya <>
Submitted on : Tuesday, February 2, 2010 - 5:04:00 PM
Last modification on : Tuesday, December 8, 2020 - 10:21:47 AM
Long-term archiving on: : Friday, June 18, 2010 - 6:27:05 PM

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  • HAL Id : inria-00452620, version 1

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Valentin Emiya, Roland Badeau, Bertrand David. Automatic transcription of piano music based on HMM tracking of jointly-estimated pitches. Proc. Eur. Conf. Sig. Proces. (EUSIPCO), Aug 2008, Lausanne, Switzerland. ⟨inria-00452620⟩

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