GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model
<|reference_start|>GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark Transcription Model: 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.<|reference_end|>
@article{riley2024gaps:,
    title={GAPS: A Large and Diverse Classical Guitar Dataset and Benchmark
  Transcription Model},
    author={Xavier Riley, Zixun Guo, Drew Edwards, Simon Dixon},
    journal={arXiv preprint arXiv:2408.08653},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.08653},
    primaryClass={cs.SD eess.AS}
}