<p>A) An explanation of the ICA model. Each epoch of binaural sound (left hand side of the equation) is represented by a linear combination of basis functions (or independent components). Coefficients are assumed to be sparse and their joint distribution is equal to the product of marginals. B) Exemplary ICA basis functions from each recorded scene. Nocturnal nature and city center scenes consisted mostly of harmonic sounds and are mostly represented by ICs resembling Fourier bases. The forest walk scene included multiple transient sounds, which gave rise to wavelet-like features.</p
Source separation Most real world signals contain contributions from multiple sources (e.g. cocktail...
Abstract. Based on general findings from the field of neuroscience and their algorithmic implementat...
<p>Columns correspond to datasets (point source, independent ears, natural scene) and rows to record...
Binaural sound localization is usually considered a discrimination task, where interaural phase (IPD...
Binaural sound localization is usually considered a discrimination task, where interaural time (ITD)...
Binaural sound localization is usually considered a discrimination task, where interaural phase (IPD...
Unsupervised learning algorithms paying attention only to second-order statistics ignore the phase s...
In this paper, we describe a novel algorithm, called Coherent In-dependent Components Analysis, and ...
<p>Wiktor Mlynarski, Juergen Jost (2014) </p> <p>Statistics of Natural Binaural Sounds,</p> <p>PLOS ...
Using statistical models one can estimate features from natural images, such as images that we see i...
Sounds like "running water" and "buzzing bees" are classes of sounds which are a collective result o...
In this thesis I attempt to explain mechanisms of neuronal coding in the auditory system as a form o...
<p>Each circle corresponds to a single IC. Horizontal and vertical coordinates are spectral maxima o...
WASPAA2007: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 21-24...
In this thesis, a time-domain binaural auditory model is developed for the assessment of high qualit...
Source separation Most real world signals contain contributions from multiple sources (e.g. cocktail...
Abstract. Based on general findings from the field of neuroscience and their algorithmic implementat...
<p>Columns correspond to datasets (point source, independent ears, natural scene) and rows to record...
Binaural sound localization is usually considered a discrimination task, where interaural phase (IPD...
Binaural sound localization is usually considered a discrimination task, where interaural time (ITD)...
Binaural sound localization is usually considered a discrimination task, where interaural phase (IPD...
Unsupervised learning algorithms paying attention only to second-order statistics ignore the phase s...
In this paper, we describe a novel algorithm, called Coherent In-dependent Components Analysis, and ...
<p>Wiktor Mlynarski, Juergen Jost (2014) </p> <p>Statistics of Natural Binaural Sounds,</p> <p>PLOS ...
Using statistical models one can estimate features from natural images, such as images that we see i...
Sounds like "running water" and "buzzing bees" are classes of sounds which are a collective result o...
In this thesis I attempt to explain mechanisms of neuronal coding in the auditory system as a form o...
<p>Each circle corresponds to a single IC. Horizontal and vertical coordinates are spectral maxima o...
WASPAA2007: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 21-24...
In this thesis, a time-domain binaural auditory model is developed for the assessment of high qualit...
Source separation Most real world signals contain contributions from multiple sources (e.g. cocktail...
Abstract. Based on general findings from the field of neuroscience and their algorithmic implementat...
<p>Columns correspond to datasets (point source, independent ears, natural scene) and rows to record...