Published January 6, 2026
| Version 0.4
Dataset
Open
MAPS - MIDI Aligned Piano Sounds
Authors/Creators
Description
MAPS, standing for MIDI Aligned Piano Sounds, is a piano sound database dedicated to research on multi-F0 estimation and automatic transcription:
- MAPS is composed of about 31 GB of CD-quality recordings in .wav format.
- High quality audio is obtained by means of Virtual Piano softwares and a Yamaha Disklavier.
- Nine settings of different pianos and recording conditions were used.
- Four categories of sounds are provided:
- isolated notes and monophonic sounds
- random chords
- usual chords
- pieces of music
- The ground truth is provided for all sounds, in MIDI and text formats. The audio was generated from the ground truth in order to ensure the accuracy of the annotation.
- MAPS is freely released with a Creative Commons license.
License: Creative Commons (http://creativecommons.org/licenses/by-nc-sa/2.0/fr/deed.en_US)
Author: Valentin Emiya (Telecom ParisTech, 2008)
References:
- Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle, V. Emiya, R. Badeau, B. David, IEEE Transactions on Audio, Speech and Language Processing, 2010.
- Transcription automatique de la musique de piano, V. Emiya, PhD Thesis, Telecom ParisTech, 2008.
Files
AkPnBcht.zip
Files
(18.6 GB)
| Name | Size | |
|---|---|---|
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md5:794d58f8ea2864edad365145e6d7c637
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1.7 GB | Preview Download |
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md5:8a2147f9a146da7bef05accf47015d90
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1.8 GB | Preview Download |
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md5:c1ec6d005688c16dbddaccca03d30066
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1.8 GB | Preview Download |
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md5:d0f63568621bce3a48e175dbff90e680
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2.1 GB | Preview Download |
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md5:a1c8c9945a2c605f62484b80cfa20cf4
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2.7 GB | Preview Download |
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md5:72bbdf40eb7af69225755e165a0a0a08
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2.6 GB | Preview Download |
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md5:caeea03000812bbc1e82cbeff1d8c102
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652 Bytes | Download |
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md5:ca887f61e0ed88965cf1e31feafe99e3
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18.6 kB | Preview Download |
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md5:74e1fdc9937de7ab149bbc6d139f9b4b
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1.7 kB | Preview Download |
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md5:eaeb055a5e26ca4b1635036999c6e49e
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1.8 GB | Preview Download |
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md5:7cfdfe0bd523307e9ac53dde890396e8
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2.1 GB | Preview Download |
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md5:33adeee52a04572379167db91e8b13de
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2.0 GB | Preview Download |
Additional details
References
- Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle, V. Emiya, R. Badeau, B. David, IEEE Transactions on Audio, Speech and Language Processing, 2010.
- Transcription automatique de la musique de piano, V. Emiya, PhD Thesis, Telecom ParisTech, 2008.