English

GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model

Sound 2024-09-02 v2 Audio and Speech Processing

Abstract

We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art performance on GuitarSet in both supervised and zero-shot settings. GAPS is the largest dataset of real guitar audio, containing 14 hours of freely available audio-score aligned pairs, recorded in diverse conditions by over 200 performers, together with high-resolution note-level MIDI alignments and performance videos. These enable us to train a state-of-the-art model for automatic transcription of solo guitar recordings which can generalise well to real world audio that is unseen during training.

Cite

@article{arxiv.2408.08653,
  title  = {GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model},
  author = {Xavier Riley and Zixun Guo and Drew Edwards and Simon Dixon},
  journal= {arXiv preprint arXiv:2408.08653},
  year   = {2024}
}

Comments

ISMIR 2024