What tasks can Drums to MIDI · ADTOF help with?

MIDI / transcription; Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.; A complete supported audio or video file; choose the model profile that matches the source and the result you need.; Turn a complete recording into editable notes, drum hits, tablature or a chord timeline.; Compare the model output with the original audio to review onsets, boundaries and source assignment.; Move MIDI and time-aligned tables into a DAW, notation editor or downstream analysis workflow.

Drums to MIDI · ADTOF · TelkNet

MIDI / transcriptionGPU workload

Drums to MIDI · ADTOF

Q: Who is Drums to MIDI · ADTOF for?

MIDI / transcription Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

Q: Which model and keyword entities are connected with Drums to MIDI · ADTOF?

ADTOF, ADTOF PyTorch source (pinned), Original ADTOF source, ISMIR 2021 paper materials, Signals 2023 paper, ADTOF-PyTorch README, ADTOF (original), Original Keras runtime

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

3 credits/useFile inputMax 100 MBEstimated 20-1800 seconds

Input

A complete supported audio or video file; choose the model profile that matches the source and the result you need.

Supported formats

mp3wavflacoggm4aaacaifaiffmp4movmkv

Output

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

Use case

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

Models, parameters, and sources

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

ADTOFADTOF PyTorch source (pinned)Original ADTOF sourceISMIR 2021 paper materialsSignals 2023 paperADTOF-PyTorch READMEADTOF (original)Original Keras runtimePinned README tablePyTorch converted runtimeADTOF: A large dataset of non-synthetic music for automatic drum transcriptionISMIR

ADTOF

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

ADTOF PyTorch source (pinned)Original ADTOF source ISMIR 2021 paper materials Signals 2023 paper

Five separate official ADTOF thresholds for kick, snare, hi-hat, tom and cymbal; no comma-separated text entry.
Advanced control from the official ADTOF CLI. The upstream default is 100 FPS; changing it alters time resolution and may affect quality.
After inference, Beat This final0 writes a valid fixed tempo or beat-by-beat tempo map into the MIDI while preserving every event's position in seconds. If valid beat evidence cannot be produced, the task fails instead of delivering MIDI with the model's default tempo.

Paper and benchmark notes

ADTOF: A large dataset of non-synthetic music for automatic drum transcription

ISMIR - 2021

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

Paper Paper materials

High-Quality and Reproducible Automatic Drum Transcription from Crowdsourced Data

Signals - 2023

Detect kick, snare, hi-hat, tom and cymbal events from a drum stem or full song and export editable drum MIDI.

Paper

Official / repositories

ADTOF PyTorch source (pinned)Original ADTOF source

Papers / technical notes

ISMIR 2021 paper materials Signals 2023 paper

Parameter guide

Five separate official ADTOF thresholds for kick, snare, hi-hat, tom and cymbal; no comma-separated text entry.
Advanced control from the official ADTOF CLI. The upstream default is 100 FPS; changing it alters time resolution and may affect quality.
After inference, Beat This final0 writes a valid fixed tempo or beat-by-beat tempo map into the MIDI while preserving every event's position in seconds. If valid beat evidence cannot be produced, the task fails instead of delivering MIDI with the model's default tempo.

Use cases

Turn a complete recording into editable notes, drum hits, tablature or a chord timeline.
Compare the model output with the original audio to review onsets, boundaries and source assignment.
Move MIDI and time-aligned tables into a DAW, notation editor or downstream analysis workflow.

Workflow

1Upload the complete supported file rather than a short test fragment.
2Choose the profile that matches the instrument or task, then adjust only the controls exposed by that official model.
3Review the preview against the original audio and download the result files from the completed task.

Pre-flight checklist

Do not send a dense full mix directly to a solo-instrument model; separate the target stem first when needed.
Start with the published defaults and change thresholds only when the preview shows a specific boundary or false-note problem.
Treat transcription as an editable draft: timing, note length, fingering and chord boundaries may still need musical correction.

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