Max’s Status Report for 10/28

This week I finished preprocessing to the point where I could comfortably begin work on the note identification and note onset algorithms. I got a simple initial algorithm for the note onset detection finished so that I could work on note identification for the case of an individual note. I have been working on this and debugging as I have gone, but should be done with isolated notes early this week. This puts me on schedule. This next week I will be able to finish out solo note detection and start to explore polyphonic note onset detection, which will then lead into polyphonic pitch detection the week after.

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Our music transcriber is designed to dynamically transcribe sheet music from a piano keyboard. When a player initiates a recording session and plays a sequence of notes, they can trust that the music transcriber will accurately capture the notes as they are played, resulting in a well-written piece of sheet music. Sensors on the keys will detect the notes being played, feed the data into a computing device that will process the data, and display the sheet music on a monitor that the player can view in real time and save for later. This innovative tool not only simplifies the process of converting piano performances into sheet music but also enhances the creative potential of musicians by allowing them to focus on their artistry while the transcriber handles the notation.