A Lyrics-Matching QBH System for Interactive Environments

Title A Lyrics-Matching QBH System for Interactive Environments
Publication TypeConference Paper
Year of Publication2010
Conference NameSound and Music Computing Conference
AuthorsPapiotis, P., & Purwins H.
Conference Start Date21/07/2010
Conference LocationBarcelona
AbstractQuery-by-Humming (QBH) is an increasingly prominent technology that allows users to browse through a song database by singing/humming a part of the song they wish to retrieve. Besides these cases, QBH can also be used to track the performance of a user in applications such as Score Alignment and Real-Time Accompaniment. In this paper we present an online QBH algorithm for audio recordings of singing voice, which uses a multi-similarity measurement approach to pinpoint the location of a query within a musical piece taking into account the pitch contour, phonetic content and RMS energy envelope. Experiments show that our approach can achieve 75.4% Top-1 accuracy in locating an exact melody from the whole song, and 57.8% Top-1 accuracy in locating the phrase that contains the exact lyrics – an improvement of 170% over the basic pitch contour method. Average query duration is 6 seconds while average runtime in MATLAB is 0.8 times the duration of the query.
preprint/postprint documenthttp://www.mtg.upf.edu/files/publications/Papiotis_Purwins_QBH_SMC2010.pdf
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