We present an approach that uses human computation and crowdsourcing principles for encoding large amounts of monophonic, handwritten sheet music.
The songs are mostly monophonic transcriptions of traditional German folk songs, accompanied by the lyrics. Although the metadata of most sheets has already been cataloged in a database as part of previous DFG sub-project, the digitization of the lyrics and scores is still a desideratum. Our research objective is to find an efficient and reliable way to encode the handwritten scores in the music encoding format (MEI), to enable automatic analyses of the songs.