| 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.
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| Full Document | http://mtg.upf.edu/files/publications/PerformanceAnalysisOfTheSingingVoice_aes35.pdf |
