A practical query-by-humming system for a large music database
Naoko Kosugi, Yuichi Nishihara, Tetsuo Sakata, Masashi Yamamuro, Kazuhiko Kushima · 2000
A music retrieval system that accepts hummed tunes as queries is described in this paper. This system uses similarity retrieval because a hummed tune may contain errors. The retrieval result is a list of song names ranked according to the closeness of the match. Our ultimate goal is that the correct song should be first on the list. This means that eventually our system's similarity retrieval should allow for only one correct answer.