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


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. Currently, an increasing amount of music resources are becoming digital, and the Web has become an important tool for singers to discover and study music, as a feedback resource and as a way to share their singing performances. The CASAS (Community-Assisted Singing Analysis and Synthesis) project has two complementary goals:

  • The first one is to improve state-of-the-art technologies that assist singers in their musical practice. We research on algorithms for singing analysis and synthesis (ex: automatic transcription, description, synthesis, classification and visualization), following a user-centered perspective, and with the goal of making them more robust, scalable and musically meaningful.
  • The second one is to enhance current public-domain vocal music archives and create research data for our target music information retrieval (MIR) tasks. Our project put a special emphasis on choral repertoire in Catalan and Spanish.

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.