Difference between revisions of "2024:Polyphonic Transcription"
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This is our first time introducing polyphonic transcription as a MIREX task. The focus this year is on '''piano transcription''', which involves converting audio piano recordings into symbolic representations like piano rolls, MIDI files, or musical scores. This task is a standard transcription challenge, similar to those implementations in previous studies (Hawthorne et al., 2018; Kong et al., 2020). | This is our first time introducing polyphonic transcription as a MIREX task. The focus this year is on '''piano transcription''', which involves converting audio piano recordings into symbolic representations like piano rolls, MIDI files, or musical scores. This task is a standard transcription challenge, similar to those implementations in previous studies (Hawthorne et al., 2018; Kong et al., 2020). | ||
| + | ==Dataset== | ||
| + | The model should be trained on MAPS and MAESTRO dataset. We will use the test set of MAPS and MAESTRO for evaluation. Which version? | ||
| + | |||
| + | ==Metric== | ||
| + | We use standard objective metrics: | ||
| + | * Frame-level metrics | ||
| + | * Note-level metrics (with or without offset) | ||
| + | These are from mir_eval. | ||
| + | |||
| + | ==Submission== | ||
| + | TBD. | ||
==Bibliography== | ==Bibliography== | ||
Revision as of 08:47, 25 August 2024
Task Description
This is our first time introducing polyphonic transcription as a MIREX task. The focus this year is on piano transcription, which involves converting audio piano recordings into symbolic representations like piano rolls, MIDI files, or musical scores. This task is a standard transcription challenge, similar to those implementations in previous studies (Hawthorne et al., 2018; Kong et al., 2020).
Dataset
The model should be trained on MAPS and MAESTRO dataset. We will use the test set of MAPS and MAESTRO for evaluation. Which version?
Metric
We use standard objective metrics:
- Frame-level metrics
- Note-level metrics (with or without offset)
These are from mir_eval.
Submission
TBD.
