A tutorial on onset detection in music signals

JP Bello, L Daudet, S Abdallah… - … on speech and …, 2005 - ieeexplore.ieee.org
Note onset detection and localization is useful in a number of analysis and indexing
techniques for musical signals. The usual way to detect onsets is to look for" transient" …

Signal processing methods for music transcription

A Klapuri, M Davy - 2007 - books.google.com
Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

[LIBRO][B] Handbook of Blind Source Separation: Independent component analysis and applications

P Comon, C Jutten - 2010 - books.google.com
Edited by the people who were forerunners in creating the field, together with contributions
from 34 leading international experts, this handbook provides the definitive reference on …

Source separation using single channel ICA

ME Davies, CJ James - Signal Processing, 2007 - Elsevier
Many researchers have recently used independent component analysis (ICA) to generate
codebooks or features for a single channel of data. We examine the nature of these …

[PDF][PDF] Energy-based models for sparse overcomplete representations

YW Teh, M Welling, S Osindero, GE Hinton - Journal of Machine Learning …, 2003 - jmlr.org
We present a new way of extending independent components analysis (ICA) to
overcomplete representations. In contrast to the causal generative extensions of ICA which …

Spectro-temporal modulation transfer function of single voxels in the human auditory cortex measured with high-resolution fMRI

M Schönwiesner, RJ Zatorre - Proceedings of the National …, 2009 - National Acad Sciences
Are visual and auditory stimuli processed by similar mechanisms in the human cerebral
cortex? Images can be thought of as light energy modulations over two spatial dimensions …

[PDF][PDF] A maximum likelihood approach to single-channel source separation

GJ Jang, TW Lee - The Journal of Machine Learning Research, 2003 - jmlr.org
This paper presents a new technique for achieving blind signal separation when given only
a single channel recording. The main concept is based on exploiting a priori sets of time …

Fast dictionary learning for sparse representations of speech signals

MG Jafari, MD Plumbley - IEEE Journal of Selected Topics in …, 2011 - ieeexplore.ieee.org
For dictionary-based decompositions of certain types, it has been observed that there might
be a link between sparsity in the dictionary and sparsity in the decomposition. Sparsity in the …

Learning unions of orthonormal bases with thresholded singular value decomposition

S Lesage, R Gribonval, F Bimbot… - … .(ICASSP'05). IEEE …, 2005 - ieeexplore.ieee.org
We propose a new method to learn overcomplete dictionaries for sparse coding structured
as unions of orthonormal bases. The interest of such a structure is manifold. Indeed, it seems …

Parametric dictionary design for sparse coding

M Yaghoobi, L Daudet… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
This paper introduces a new dictionary design method for sparse coding of a class of
signals. It has been shown that one can sparsely approximate some natural signals using an …