TY - GEN
T1 - Instrument recognition in polyphonic music
AU - Essid, Slim
AU - Richard, Gaël
AU - David, Bertrand
PY - 2005/1/1
Y1 - 2005/1/1
N2 - We propose a method for the recognition of musical instruments in polyphonic music excerpted from commercial recordings. By exploiting some cues on the common structures of musical ensembles, we show that it is possible to recognize up to 4 instruments playing concurrently. The system associates a hierarchical classification tree with a class-pairwise feature selection technique and Gaussian Mixture Models to discriminate possible combinations of instruments. Successful identification is achieved over short-time windows, enabling the system to be employed for segmentation purposes.
AB - We propose a method for the recognition of musical instruments in polyphonic music excerpted from commercial recordings. By exploiting some cues on the common structures of musical ensembles, we show that it is possible to recognize up to 4 instruments playing concurrently. The system associates a hierarchical classification tree with a class-pairwise feature selection technique and Gaussian Mixture Models to discriminate possible combinations of instruments. Successful identification is achieved over short-time windows, enabling the system to be employed for segmentation purposes.
UR - https://www.scopus.com/pages/publications/33646802969
U2 - 10.1109/ICASSP.2005.1415692
DO - 10.1109/ICASSP.2005.1415692
M3 - Conference contribution
AN - SCOPUS:33646802969
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 245
EP - 248
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -