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See the paper at https://nime.pubpub.org/pub/bchhb87h/
A Computer-aided Multimodal Music Learning System with Curriculum: A Pilot Study.

@inproceedings{, author = {Chin, Daniel and Gus, Xia}, title = {A Computer-aided Multimodal Music Learning System with Curriculum: A Pilot Study. }, booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression}, year = {2022}, presentation-video = {https://youtu.be/DifOKvH1ErQ}, abstract = {We present an AI-empowered music tutor with a systematic curriculum design. The tutoring system fully utilizes the interactivity space in the auditory, visual, and haptic modalities, supporting seven haptic feedback modes and four visual feedback modes. The combinations of those modes form different cross-modal tasks of varying difficulties, allowing the curriculum to apply the “scaffolding then fading” educational technique to foster active learning and amortize cognitive load. We study the effect of multimodal instructions, guidance, and feedback using a qualitative pilot study with two subjects over ~11 hours of training with our tutoring system. The study reveals valuable insights about the music learning process and points towards new features and learning modes for the next prototype. } }

Video presentation: https://youtu.be/DifOKvH1ErQ

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Hardware assemply manual; Song extraction algorithm.

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