Automatic touching detection and recognition of music chord using auto-encoding and softmax

Authors:
Hong Quy Nguyen;Hyung-Jeong Yang;Soo-Hyung Kim;Guee-Sang Lee
Affiliations:
Chonnam National University, Gwangju, South Korea;Chonnam National University, Gwangju, South Korea;Chonnam National University, Gwangju, South Korea;Chonnam National University, Gwangju, South Korea
Venue:
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Year:
2014

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Abstract

Humankind envisioned an age of automatic where many machines perform all cumbersome and tedious tasks and we just enjoy. Playing music is not a tedious work but a program that plays music from music sheet image automatically can increase productivity of musician or bring convenience to amateurs. Following its requirement, we studied a specific task in Optical Music Recognition problem that is touching chord. Specially, touching chord becomes a critical problem on mobile device captured image because of some objective conditions. In this paper we showed our proposed method which used Autoencoder and Softmax classifier. The experiment results showed that our method is very promising. We get 94.117% accuracy in detect non-touching phase and 96.261% in separate phase.