2017
INTERSPEECH
INTERSPEECH 2017
An Apparatus to Investigate Western Opera Singing Skill Learning Using Performance and Result Biofeedback, and Measuring its Neural Correlates
Abstract
We present our preliminary developments on a biofeedback interface for Western operatic style training, combining performance and result biofeedback. Electromyographic performance feedbacks, as well as formant-tuning result feedbacks are displayed visually, using continuously scrolling displays, or discrete post-trial evaluations. Our final aim is to investigate electroencephalographic (EEG) measurements in order to identify neural correlates of feedback-based skill learning.
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Keyword Pioneer
— electromyographic feedback
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Cross-Pollinator
— Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio