Automatically detecting the playing styles of musical instruments could assist in the development of intelligent software for music coaching and training. However, the respective methodologies are still at an early stage, and there are limitations in the playing techniques that can be identified. This is partly due to the limited availability of complete and real-world datasets of instrument playing styles that are mandatory to develop and train robust machine learning models.
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