A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Violinist identification based on vibrato features
2021
2021 29th European Signal Processing Conference (EUSIPCO)
unpublished
Identifying performers from polyphonic music is a challenging task in music information retrieval. As a ubiquitous expressive element in violin music, vibrato contains important information about the performers' interpretation. This paper proposes to use vibrato features for identifying violinists from commercial orchestral recordings. We present and compare two systems, which take the same note-level melodies as input while using different vibrato feature extractors and classification schemes.
doi:10.23919/eusipco54536.2021.9616197
fatcat:7ic6nprgordphhsvelrxverhxq