Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

An Automatic Singing Skill Evaluation Method for Unknown Melodies Using Pitch Interval Accuracy and Vibrato Features

Tomoyasu Nakano (1), Masataka Goto (2), Yuzuru Hiraga (1)

(1) University of Tsukuba, Japan; (2) AIST, Japan

This paper presents a method of evaluating singing skills that does not require score information of the sung melody. This requires an approach that is different from existing systems, such as those currently used for Karaoke systems. Previous research on singing evaluation has focused on analyzing the characteristics of singing voice, but were not aimed at developing an automatic evaluation method. The approach presented in this study uses pitch interval accuracy and vibrato as acoustic features which are independent from specific characteristics of the singer or melody. The approach was tested by a 2-class (good/poor) classification test with 600 song sequences, and achieved an average classification rate of 83.5%.

Full Paper

Bibliographic reference.  Nakano, Tomoyasu / Goto, Masataka / Hiraga, Yuzuru (2006): "An automatic singing skill evaluation method for unknown melodies using pitch interval accuracy and vibrato features", In INTERSPEECH-2006, paper 1854-Wed2A1O.4.