| dc.contributor.author | BENETOS, E | en_US |
| dc.contributor.author | Schramm,, R | en_US |
| dc.contributor.author | DMRN+11: Digital Music Research Network One-day Workshop 2016 | en_US |
| dc.date.accessioned | 2017-02-14T16:53:06Z | |
| dc.date.available | 2016-12-20 | en_US |
| dc.date.issued | 2016-12-20 | en_US |
| dc.date.submitted | 2017-02-10T15:16:52.552Z | |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/19399 | |
| dc.description.abstract | This 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.publisher | Centre for Digital Music, Queen Mary University of London | en_US |
| dc.title | Automatic Transcription of Vocal Quartets | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © Centre for Digital Music, Queen Mary University of London | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.publisher-url | https://qmro.qmul.ac.uk/xmlui/handle/123456789/19345 | en_US |
| dcterms.dateAccepted | 2016-12-20 | en_US |
