Performance Analysis and Scoring of the Singing Voice

Bonada J, Loscos A, Mayor O. Performance Analysis and Scoring of the Singing Voice. In: AES Conference: 35th International Conference: Audio for Games. Audio Engineering Society; 2009. Paper 8. Available from: https://aes.org/publications/elibrary-page/?id=15162

@inproceedings{Bonada2009_15162,
  author = {Bonada, Jordi and Loscos, Alex and Mayor, Oscar},
  title = {{Performance Analysis and Scoring of the Singing Voice}},
  booktitle = {AES Conference: 35th International Conference: Audio for Games},
  note = {Paper 8},
  year = {2009},
  month = feb,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15162}
}

TY  - CPAPER
TI  - Performance Analysis and Scoring of the Singing Voice
AU  - Bonada, Jordi
AU  - Loscos, Alex
AU  - Mayor, Oscar
T2  - AES Conference: 35th International Conference: Audio for Games
M1  - Paper 8
PY  - 2009
DA  - 2009/02/06
UR  - https://aes.org/publications/elibrary-page/?id=15162
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -