""Deep Learning Applied to SATB Choirs"¶

Abstract:¶

We present some recent research on the application of deep learning based methodologies to the field of Soprano, Alto, Tenor and Bass (SATB) choirs. Concretely, we present a dataset, an application of source separation to the data as well as multi-pitch estimation, analysis and synthesis of Unison form A Capella input and A Capella from Unison input.

Bio:¶

I am Pritish Chandna, a PhD student in the fourth year at the Universitat Pompeu Fabra, under the tutelage of Emilia Gomez. My PhD focuses on the application of Deep Learning to the Singing Voice.