ISMIR2020: Deep Learning Based Source Separation Applied to Choir Ensembles

Project Description:

Thrilled to announce that our paper addressing SATB voice segregation in the context of monoaural choir recordings has been accepted to the 21st International Society for Music Information Retrieval Conference (ISMIR). You can read the paper through the link given above. The companion audio example page showcasing how the inference of our proposed models compare against other state-of-the-art architectures is available through the project page.

Video Presentation: