Automated Instructional Aid for Reading Sheet Music
نویسندگان
چکیده
The possibility of developing accessible optical music recognition presents an amazing array of opportunities to improve the musical education experience. While the topic has been the subject of research for decades, widespread application of this technology has not reached the general consumer. We have developed a sheet music image processing application targeted towards beginner music to provide an instructional aid for the novice musician. The application accepts an image file of the sheet music, annotates all of the notes, and generates and plays a MIDI file of the song. The application recognizes and classifies quarter, half, and whole notes with very high accuracy (97-100%) for digitized sheet music readily available on the internet. Other note types and symbols will be added in the future. Keywords-optical music recognition, sheet music, OMR, image processing
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