@inproceedings{29d4ba91a9c2455daac49fdbdef87dd3,
title = "Singer melody extraction in polyphonic signals using source separation methods",
abstract = "We propose a new approach for singer melody extraction, based on blind source separation techniques. The short time Fourier transform (STFT) of the singer signal is modelled by a Gaussian mixture model (GMM) explicitly coupled with a generative source/filter model. We then introduce a simplification of this general GMM and approximate the STFT of the music signal using Non-negative Matrix Factorization (NMF) techniques. The melody line is extracted from the explicit source component of the model thanks to a Viterbi algorithm. The results are very promising and comparable or better than those of state-of-the-art systems.",
keywords = "Blind Source Separation, Music, Non-Negative Matrix Factorization, Source/Filter Model, Spectral Analysis",
author = "Durrieu, \{Jean Louis\} and Ga{\"e}l Richard and Bertrand David",
year = "2008",
month = sep,
day = "16",
doi = "10.1109/ICASSP.2008.4517573",
language = "English",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "169--172",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}