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Performance Analysis and Scoring of the Singing Voice

Title Performance Analysis and Scoring of the Singing Voice
Publication Type Conference Paper
Year of Publication 2009
Conference Name AES 35th International Conference: Audio for Games
Authors Mayor, O. , Bonada J. , & Loscos A.
Conference Start Date 11/02/2009
Conference Location London, UK
Abstract In this article we describe the approximation we follow to analyze the performance of a singer when singing a reference song. The idea is to rate the performance of a singer in the same way that a music tutor would do it, not only giving a score but also giving feedback about how the user has performed regarding expression, tuning and tempo/timing characteristics. Also a discussion on what visual feedback should be relevant for the user is discussed. Segmentation at an intra-note level is done using an algorithm based on untrained HMMs with probabilistic models built out of a set of heuristic rules that determine regions and their probability of being expressive features. A real-time karaoke-like system is presented where a user can sing and visualize simultaneously feedback and results of the performance. The technology can be applied to a wide set of applications that range from pure entertainment to more serious education oriented.
preprint/postprint document http://mtg.upf.edu/files/publications/PerformanceAnalysisOfTheSingingVoice_aes35.pdf