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Guitar Chord Sensing and Recognition Using Multi-Task Learning and Physical Data Augmentation with Robotics.

Gerelmaa Byambatsogt1,2, Lodoiravsal Choimaa2, Gou Koutaki1

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Summary

Researchers developed a multi-task learning model for guitar chord recognition, improving accuracy. Physical data augmentation using a robotic performer effectively addressed data scarcity, enhancing deep learning model performance.

Area of Science:

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  • Automatic chord recognition is a key task in MIR, with deep learning models showing promise.
Keywords:
chord recognitionconvolutional neural networkdata augmentationguitar-playing robotmulti-task learning

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  • Existing models often focus on simple chords and require extensive, high-quality data.
  • Data scarcity is a significant challenge for training effective chord recognition models.