Computers and musical style
Music retrieval as text retrieval (poster abstract): simple yet effective
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A practical query-by-humming system for a large music database
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Selection of Melody Lines for Music Databases
COMPSAC '00 24th International Computer Software and Applications Conference
Classification of Melodies by Composer with Hidden Markov Models
WEDELMUSIC '01 Proceedings of the First International Conference on WEB Delivering of Music (WEDELMUSIC'01)
Polyphonic music retrieval: the n-gram approach
ACM SIGIR Forum
ism: improvisation supporting system based on melody correction
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
A unified model of structural organization in language and music
Journal of Artificial Intelligence Research
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In this letter we focus on the task of selecting the melody track from a polyphonic MIDI file. Based on the intuition that music and language are similar in many aspects, we solve the selection problem by introducing an n-gram language model to learn the melody co-occurrence patterns in a statistical manner and determine the melodic degree of a given MIDI track. Furthermore, we propose the idea of using background model and posterior probability criteria to make modeling more discriminative. In the evaluation, the achieved 81.6% correct rate indicates the feasibility of our approach.