Performance scoring of singing voice
Yu Yang, Weisi Lin, Dongyan Huang, Minghui Dong, Haizhou Li
Abstract
Yu Yang, Weisi Lin, Dongyan Huang, Minghui Dong, Haizhou Li
Abstract
Singing voice offers rich information such as human emotions and moods, it is considered to be a particular musical instrument. Nowadays, there are many situations where the singing voice needs to be evaluated, such as teaching, singing competition, and so on. But not everyone has a professional teacher, a singing evaluation system will be very helpful for ordinary people to learn singing in a proper way. In this paper, a system is developed to analyze the performance of singing voice and rank it according to predictive model trained from the acoustic emotion features and musicians' opinions.
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Singing voice offers rich information such as human emotions and moods, it is considered to be a particular musical instrument. Nowadays, there are many situations where the singing voice needs to be evaluated, such as teaching, singing competition, and so on. But not everyone has a professional teacher, a singing evaluation system will be very helpful for ordinary people to learn singing in a proper way. In this paper, a system is developed to analyze the performance of singing voice and rank it according to predictive model trained from the acoustic emotion features and musicians' opinions.
Key concepts: Singing, Computer science, Speech recognition, Vocal music, Rank (graph theory), Musical, Psychology, Music education