What tasks can Guitar Tablature · TabCNN help with?

MIDI / transcription; Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.; 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.

Guitar Tablature · TabCNN · TelkNet

MIDI / transcriptionGPU workload

Guitar Tablature · TabCNN

Q: Who is Guitar Tablature · TabCNN for?

MIDI / transcription Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

Q: Which model and keyword entities are connected with Guitar Tablature · TabCNN?

TabCNN (GuitarProFX), CrispASR runtime (pinned), TabCNN ONNX weights (pinned), GuitarProFX paper, Original TabCNN paper, Pinned TabCNN model card, Real electric / effects, Pinned model card

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

4 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

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

Use case

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

Models, parameters, and sources

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

TabCNN (GuitarProFX)CrispASR runtime (pinned)TabCNN ONNX weights (pinned)GuitarProFX paperOriginal TabCNN paperPinned TabCNN model cardReal electric / effectsPinned model cardTabCNN vanillaGuitarSet zero-shotTabCNN paper, Table 2GuitarSet test split

TabCNN (GuitarProFX)

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

CrispASR runtime (pinned)TabCNN ONNX weights (pinned)GuitarProFX paper Original TabCNN paper

CrispASR supplies a probability grid. Playable fingering is fixed TelkNet post-processing (top 3, beam 24, maximum hand span 5), not an official model parameter or user control.
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

Leveraging Real Electric Guitar Tones and Effects to Improve Robustness in Guitar Tablature Transcription Modeling

DAFx - 2024

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

Paper

Guitar Tablature Estimation with a Convolutional Neural Network

ISMIR - 2019

Transcribe six-string guitar audio into playable fret positions, MIDI and a timestamped tablature table.

Paper Original source Deployed model card (pinned)

Official / repositories

CrispASR runtime (pinned)TabCNN ONNX weights (pinned)

Papers / technical notes

GuitarProFX paper Original TabCNN paper

Parameter guide

CrispASR supplies a probability grid. Playable fingering is fixed TelkNet post-processing (top 3, beam 24, maximum hand span 5), not an official model parameter or user control.
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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