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Musical Gesture Recognition via ML by Nagendra Nagsha is a document available to read on EtoBox.

This document describes preliminary research on recognizing musical gestures from audio using machine learning. Audio from a cello piece containing labeled musical gestures was analyzed using audio descriptors and fed into a machine learning model. The model was tested using cross-validation, and confusion matrices were used to evaluate performance and identify gestures that were not well recognized. The researchers aim to optimize model hyperparameters like descriptor selection and regularization coefficie

Author
Nagendra Nagsha
Language
EN