DocumentCode :
1657921
Title :
A study on singing performance evaluation criteria for untrained singers
Author :
Cao, Chuan ; Li, Ming ; Liu, Jian ; Yan, Yonghong
Author_Institution :
ThinkIT Speech Lab., Chinese Acad. of Sci.
fYear :
2008
Firstpage :
1475
Lastpage :
1478
Abstract :
This paper describes a study of subjective criteria for untrained singerspsila singing voice quality evaluation, focusing on the perceptual aspects that have relatively strong acoustic implications. And the correlation among the individual perceptual criteria is also investigated. A SVM regression method is applied to find the importance of every evaluation criterion. Experiments on a 200 singing clips dataset are conducted to give promising results. And probable acoustic cues are introduced for a future prospect.
Keywords :
audio signal processing; regression analysis; support vector machines; SVM regression method; singing performance evaluation criteria; singing voice quality evaluation; untrained singers; Acoustics; Brightness; Dynamic range; Humans; Resonance; Rhythm; Signal processing algorithms; Speech analysis; Support vector machines; Timbre;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697411
Filename :
4697411
Link To Document :
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