Show simple item record

dc.contributor.authorBENETOS, Een_US
dc.contributor.authorSchramm,, Ren_US
dc.contributor.authorDMRN+11: Digital Music Research Network One-day Workshop 2016en_US
dc.description.abstractThis work presents a probabilistic latent component analysis (PLCA) method applied to automatic music transcription of a cappella performances of vocal quartets. A variable-Q transform (VQT) representation of the audio spectrogram is factorised with the help of a 6-dimensional tensor. Preliminary experiments have shown promising music transcription results when applied to audio recordings of Bach Chorales and Barbershop music.en_US
dc.publisherCentre for Digital Music, Queen Mary University of Londonen_US
dc.titleAutomatic Transcription of Vocal Quartetsen_US
dc.typeConference Proceeding
dc.rights.holder© Centre for Digital Music, Queen Mary University of London
pubs.notesNot knownen_US

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record