@inproceedings{e540815d9d1a40b18259471d22c5de26,
title = "Sparse Chroma Estimation for Harmonic Audio",
abstract = "This work treats the estimation of the chromagram for harmonic audio signals using a block sparse reconstruction framework. Chroma has been used for decades as a key tool in audio analysis, and is typically formed using a Fourier-based framework that maps the fundamental frequency of a musical tone to its corresponding chroma. Such an approach often leads to problems with tone ambiguity, which we avoid by taking into account the harmonic structure and perceptional attributes in music. The performance of the proposed method is evaluated using real audio files, clearly showing preferable performance as compared to other commonly used methods.",
keywords = "chromagram, block sparsity, total variation, convex optimization, ADMM",
author = "Ted Kronvall and Maria Juhlin and Adalbj{\"o}rnsson, {Stefan Ingi} and Andreas Jakobsson",
year = "2015",
month = apr,
day = "19",
doi = "10.1109/ICASSP.2015.7178035",
language = "English",
series = "Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "579--583",
booktitle = "2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
note = "2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015) ; Conference date: 19-04-2015 Through 25-04-2015",
}