TY - JOUR
T1 - Audiovisual Analysis of Music Performances
T2 - Overview of an Emerging Field
AU - Duan, Zhiyao
AU - Essid, Slim
AU - Liem, Cynthia C.S.
AU - Richard, Gael
AU - Sharma, Gaurav
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - In the physical sciences and engineering domains, music has traditionally been considered an acoustic phenomenon. From a perceptual viewpoint, music is naturally associated with hearing, i.e., the audio modality. Moreover, for a long time, the majority of music recordings were distributed through audio-only media, such as vinyl records, cassettes, compact discs, and mp3 files. As a consequence, existing automated music analysis approaches predominantly focus on audio signals that represent information from the acoustic rendering of music.
AB - In the physical sciences and engineering domains, music has traditionally been considered an acoustic phenomenon. From a perceptual viewpoint, music is naturally associated with hearing, i.e., the audio modality. Moreover, for a long time, the majority of music recordings were distributed through audio-only media, such as vinyl records, cassettes, compact discs, and mp3 files. As a consequence, existing automated music analysis approaches predominantly focus on audio signals that represent information from the acoustic rendering of music.
U2 - 10.1109/MSP.2018.2875511
DO - 10.1109/MSP.2018.2875511
M3 - Article
AN - SCOPUS:85059760158
SN - 1053-5888
VL - 36
SP - 63
EP - 73
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 1
M1 - 8588405
ER -