ARME Virtuoso Strings

The Virtuoso Strings dataset contains scores, onset annotations and audio recordings of a professional string quartet. It is part of a larger collection of recordings captured through the Augmented Reality Music Ensemble (ARME) project, with audio recordings 🎻, and onset annotations 📝.

Links

🔬 Paper preprint [pdf]
💻 Supporting website
🎼 Musical scores
🎵 Audio recordings
📝 Onset annotations
📊 Annotation experiments

Looking around

• audio: mono WAV sampled at 44.1 kHz 16-bit resolution
• annotations: txt files with single column onset annotations
• docs: pdf musical scores

How to read filenames?

instrument_name:  VN1, VN2, VA, VC
                  'First violin, second violin, viola, violoncello'
  ensemble_type:   Q, T, D, S
                  'Quartet, duet, trio, solo'
       composer:   JH, AM, LB, ED
                  'Joseph Haydn, Amadeus Mozart, Ludwig van Beethoven, Ernő Dohnányi'
         leader:   VN1, VN2, VA, VC, VN0, A, B
                  'Assigned leadership or no leadership, parts A/B in duets'
      condition:  NR, DP, SP
                  'Normal, deadpan, speed'
    take_number:  1-12

example_filename: VN1-Q-JH-VN1-NR-12

How to read directory names?

ensemble_type:  Q, T, D, S
                'Quartet, duet, trio, solo'
     composer:  JH, AM, LB, ED
                'Joseph Haydn, Amadeus Mozart, Ludwig van Beethoven, Ernő Dohnányi'
       leader:  VN1, VN2, VN0, XX_YY
                'First, second violinist, no leadership or XX in duets'
    condition:  NR, DP, SP
                'Normal, deadpan, speed'

  example_dir:  Q-JH-VN1-NR 

Roadmap and Contributing

We plan to continue to improve the existing onset annotations. Annotation is a lengthy and error-prone process, and as this is an ongoing research project, all contributions are most welcome.

Any questions please feel free to contact us or refer to the supporting publication.

References

If you use this dataset in your research, feel free to cite these papers:

[1]	Tomczak M., M.S. Li, M. Di Luca, Virtuoso Strings: A Dataset of String Ensemble Recordings and Onset Annotations for Timing Analysis, Extended Abstracts for the Late-Breaking Demo Sessions of the 24th International Society for Music Information Retrieval (ISMIR) Conference, 2023.

Acknowledgments

This project is kindly funded by Engineering and Physical Sciences Research Council (EPSRC) grant with reference EP/V034987/1.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.