@inproceedings{4b49f9921e2247ffa7887c7f2cf216ba,
title = "Instrument recognition in polyphonic music",
abstract = "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.",
author = "Slim Essid and Ga{\"e}l Richard and Bertrand David",
year = "2005",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2005.1415692",
language = "English",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "245--248",
booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}