publication . Doctoral thesis . Other literature type . 2020

SATB Voice Segregation For Monoaural Recordings

Pétermann, Darius A,;
Open Access
  • Published: 15 Sep 2020
Abstract
Choral singing is a widely practiced form of ensemble singing wherein a group of people sing simultaneously in polyphonic harmony. The most commonly practiced setting for choir ensembles consists of four parts; Soprano, Alto, Tenor and Bass (SATB), each with its own range of fundamental frequencies (F0s). The task of source separation for this choral setting entails separating the SATB mixture into its constituent parts. Source separation for musical mixtures is well studied and many Deep Learning-based methodologies have been proposed for the same. However,<br> most of the research has been focused on a typical case which consists in<br> separating vocal, percu...
Subjects
free text keywords: source separation, singing voice, SATB recording, convolutional neural networks, choir music.
Download fromView all 3 versions
ZENODO
Doctoral thesis . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Zenodo
Other literature type . 2020
Provider: Datacite
Any information missing or wrong?Report an Issue