@inproceedings{5abc5f0fc90e4b8aa2950602036fb428,
title = "Multi-pitch streaming of interwoven streams",
abstract = "In this paper, we discuss the multipitch streaming (MPS) problem for a multi-source audio signal having interweaving pitch contours. We propose two approaches to tackle this challenge, one relates to a feature extracted from the energy levels distributed in multi-channel recordings for better characterization of the source, and the other uses particle swarm optimization (PSO) to enlarge the search space and alleviate the initialization problem in constrained clustering of the features representing different sources. Experiments on music and speech samples having highly interweaving pitch contours are presented to assess its effectiveness.",
keywords = "automatic music transcription, multi-channel, Multipitch streaming, particle swarm optimization",
author = "Kuan, {Chih Yi} and Li Su and Chin, {Yu Hao} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",
year = "2017",
month = jun,
day = "16",
doi = "10.1109/ICASSP.2017.7952168",
language = "???core.languages.en_GB???",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "311--315",
booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings",
}