A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System
| Main Authors: | Falcão, Felipe, Bozkurt, Barış, Serra, Xavier, Andrade, Nazareno, Baysal, Ozan |
|---|---|
| Format: | Proceeding eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Online Access: |
https://zenodo.org/record/3299663 |
Daftar Isi:
- This work presents a novel dataset comprised of audio and jury evaluations for rhythmic pattern reproduction performances by students applying for a conservatory. Data was collected in-loco during entrance exams where students were asked to imitate a set of rhythmic patterns played by teachers. In addition to the pass or fail grades provided by the members of the jury during the exam sessions, a subset of the data was also evaluated by external annotators on a 4-level scale. A baseline automatic assessment system is presented to demonstrate the usefulness of the dataset. Preliminary results deliver an accuracy of 76% for a simple pass/fail logistic regression classifier and a mean average error of 0.59 for a linear regression grade estimator. The implementation is also made publicly available to serve as baseline for alternative assessments systems that may leverage the dataset.