DocumentCode :
661434
Title :
Quantitative evaluation of violin solo performance
Author :
Yiju Lin ; Wei-chen Chang ; Su, Alvin W. Y.
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
fYear :
2013
fDate :
Oct. 29 2013-Nov. 1 2013
Firstpage :
1
Lastpage :
6
Abstract :
Evaluation of performances of musical instruments is usually subjective. It may be easier for keyboard instruments. For bowed-string instruments such as a violin, delicate articulations are required in its performance such that there exhibit much complexities in its sound, making the evaluation more difficult. In this paper, a note separation algorithm based on spectral domain factorization is used to extract the notes from recordings of violin solo performances. Each note can then be quantitatively evaluated based on a set of metrics that is designed to provide various aspects of violin performances including pitch accuracy, bowing steadiness, vibrato depth/rate, bowing intensity, tempo, and timbre characteristics and so on. The tools should be useful in musical instrument performance education.
Keywords :
audio signal processing; matrix decomposition; musical instruments; bowed-string instruments; bowing steadiness; keyboard instruments; musical instrument performance education; musical instruments; note separation algorithm; pitch accuracy; quantitative evaluation; spectral domain factorization; tempo; vibrato depth/rate; violin solo performance; Frequency conversion; Frequency estimation; Instruments; Music information retrieval; Timbre; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/APSIPA.2013.6694296
Filename :
6694296
Link To Document :
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