Community-Assisted Singing Analysis and Synthesis

Community-Assisted Singing Analysis and Synthesis

Project funded by the Ministry of Economy and Competitiveness of the Spanish Government (Reference: TIN2015-70816-R).
Duration: January 1st 2016 to December 31st 2018.
PIEmilia Gómez
Researchers involved: Jordi Bonada, Merlijn Blauw, Agustín Martorell, Julián Urbano, Juan José Bosch, Pritish Chandna, Helena Cuesta.

Singers: Cor Anton Bruckner (resident choir 2016-17), conducted by Júlia Sesé Lara.


Humans use singing to create identity, express emotion, tell stories, exercise creativity, and connect with each other while singing together. This is demonstrated by the large community of music singers active in choirs and the fact that vocal music makes up an important part of our cultural heritage. The CASAS (Community-Assisted Singing Analysis and Synthesis) project has two complementary goals:

  1. Improve state-of-the-art technologies that assist singers in their musical practice. We integrate and improve algorithms for singing analysis and synthesis: automatic transcription, intonation modelling, singing synthesis, source separation and alignment. 
  2. To create research data and contribute to current public-domain vocal music archives.

Our project put a special emphasis on choral repertoire in Catalan and Spanish, without forgetting other genres, specially flamenco singing. We exploit our current methods for Music Information Retrieval and Singing Voice Processing, and we involve a community of singers that use our technologies and provide their evaluations, ground truth data and relevance feedback.


Press:  Tecnología musical para la práctica del canto coral, UPF news, 2017.