Our paper:
J. Salamon, J. Serrà and E. Gómez, "Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming", International Journal of Multimedia Information Retrieval, special issue on Hybrid Music Information Retrieval, In Press.
has now been officially accepted for publication. The paper compares different tonal representations (melody, bass line and harmony) for version identification (automatically detecting cover songs). We also show how our approach for vesrion ID can be easily adapted for query-by-humming (QBH, i.e. searching for a song stuck in your head by singing or humming part of the melody), and since both the melody extraction (using MELODIA) and the matching is fully automatic, this is a fully automatic audio-to-audio QBH system prototype!
We're also planning to put all the queries we recorded for the experiments online, together with a list of the songs in the music collections we used for evaluation (unfortunately we can't share the songs themselves because they are protected by copyright law). I'll write a new post once the files are up.
I'd like to thank my co-authors Joan Serrà and Emilia Gómez for their excellent work. Hope you find article interesting!
J. Salamon, J. Serrà and E. Gómez, "Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming", International Journal of Multimedia Information Retrieval, special issue on Hybrid Music Information Retrieval, In Press.
has now been officially accepted for publication. The paper compares different tonal representations (melody, bass line and harmony) for version identification (automatically detecting cover songs). We also show how our approach for vesrion ID can be easily adapted for query-by-humming (QBH, i.e. searching for a song stuck in your head by singing or humming part of the melody), and since both the melody extraction (using MELODIA) and the matching is fully automatic, this is a fully automatic audio-to-audio QBH system prototype!
We're also planning to put all the queries we recorded for the experiments online, together with a list of the songs in the music collections we used for evaluation (unfortunately we can't share the songs themselves because they are protected by copyright law). I'll write a new post once the files are up.
I'd like to thank my co-authors Joan Serrà and Emilia Gómez for their excellent work. Hope you find article interesting!
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