2015•Unpublished venueRequires access

Performance scoring of singing voice

Yu Yang, Weisi Lin, Dongyan Huang, Minghui Dong, Haizhou Li

Open publisher page 2 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available 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.

Key concepts: Singing, Computer science, Speech recognition, Vocal music, Rank (graph theory), Musical, Psychology, Music education

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