A tutorial on onset detection in music signals
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" …
techniques for musical signals. The usual way to detect onsets is to look for" transient" …
Signal processing methods for music transcription
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 …
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
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 …
from 34 leading international experts, this handbook provides the definitive reference on …
Source separation using single channel ICA
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 …
codebooks or features for a single channel of data. We examine the nature of these …
[PDF][PDF] Energy-based models for sparse overcomplete representations
We present a new way of extending independent components analysis (ICA) to
overcomplete representations. In contrast to the causal generative extensions of ICA which …
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
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 …
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
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 …
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 …
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
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 …
as unions of orthonormal bases. The interest of such a structure is manifold. Indeed, it seems …
Parametric dictionary design for sparse coding
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 …
signals. It has been shown that one can sparsely approximate some natural signals using an …