mlsanityData to 7 Oct 2026

High Resolution Guitar Transcription via Domain Adaptation

arXiv 2402.15258 ↗First posted 23 Feb 2024eess.AS cs.LG cs.SDcited by 15

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Abstract (arXiv)

Automatic music transcription (AMT) has achieved high accuracy for piano due to the availability of large, high-quality datasets such as MAESTRO and MAPS, but comparable datasets are not yet available for other instruments. In recent work, however, it has been demonstrated that aligning scores to transcription model activations can produce high quality AMT training data for instruments other than piano. Focusing on the guitar, we refine this approach to training on score data using a dataset of commercially available score-audio pairs. We propose the use of a high-resolution piano transcription model to train a new guitar transcription model. The resulting model obtains state-of-the-art transcription results on GuitarSet in a zero-shot context, improving on previously published methods.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 11 of its 17 references that are in the map. First posted on arXiv 23 Feb 2024.

Builds on

11 of 17 references.

References · 11

  1. 2018Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Datasetcited by 215
  2. 2017Onsets and Frames: Dual-Objective Piano Transcriptioncited by 93
  3. 2021MT3: Multi-Task Multitrack Music Transcriptioncited by 70
  4. 2020High-resolution Piano Transcription with Pedals by Regressing Onset and Offset Timescited by 61
  5. 2016Learning Features of Music from Scratchcited by 57
  6. 2021Sequence-to-Sequence Piano Transcription with Transformerscited by 48
  7. 2022A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimationcited by 27
  8. 2022Unaligned Supervision For Automatic Music Transcription in The Wildcited by 25
  9. 2021Omnizart: A General Toolbox for Automatic Music Transcriptioncited by 13
  10. 2023Multitrack Music Transcription with a Time-Frequency Perceivercited by 12
  11. 2022FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcriptioncited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 8; 2026: 5.

15 papers.

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  1. 2024YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentationcited by 13
  2. 2025GOAT: A Large Dataset of Paired Guitar Audio Recordings and Tablaturescited by 6
  3. 2024MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modelingcited by 4
  4. 2025Count The Notes: Histogram-Based Supervision for Automatic Music Transcriptioncited by 2
  5. 2025Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcriptioncited by 1
  6. 2025Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecturecited by 1
  7. 2025VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentationcited by 1
  8. 2026Music Transcription with (Almost) No Supervisioncited by 1
  9. 2025Fine-Tuning MIDI-to-Audio Alignment using a Neural Network on Piano Roll and CQT Representationscited by 0
  10. 2025Joint Transcription of Acoustic Guitar Strumming Directions and Chordscited by 0
  11. 2025Exploring Procedural Data Generation for Automatic Acoustic Guitar Fingerpicking Transcriptioncited by 0
  12. 2026Velocity Prediction in Automatic Guitar Transcriptioncited by 0
3 more
  1. 2026Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Datasetcited by 0
  2. 2026Playability-Aware Audio-to-Tablature Guitar Transcription via Diffusion Modelscited by 0
  3. 2026TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcriptioncited by 0