Publications related to Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Enabling Speech Applications using Ad Hoc Microphone Arrays

Microphone arrays are central players in hands-free speech interface applications. The main duty of a microphone array is capturing distant-talking speech with high quality. A microphone array can acquire the desired speech signals selectively by leading t ...

EPFL2015

Signal structure: from manifolds to molecules and structured sparsity

Sofia Karygianni

Effective representation methods and proper signal priors are crucial in most signal processing applications. In this thesis we focus on different structured models and we design appropriate schemes that allow the discovery of low dimensional latent struct ...

EPFL2015

Cluster phenomenon and partial differential aging in RAP mixtures

André-Gilles Dumont, Michel Pittet, Sara Bressi

The present study defines a procedure for gaining a better understanding of the interaction between the aged and the virgin binders and what actually occurs during a mix process. Indeed, the authors propose a methodology to determine and quantify the clust ...

Elsevier Sci Ltd2015

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

This paper proposes a speech localization framework based on model-based sparse recovery. We compare and contrast the computational sparse optimization methods incorporating harmonicity and block structures as well as autoregressive dependencies underlying ...

IEEE2014

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

In this paper, the problem of multiple speaker localization via speech separation based on model-based sparse recovery is studies. We compare and contrast computational sparse optimization methods incorporating harmonicity and block structures as well as a ...

2014

Hardware and Algorithms for Ultrasonic Depth Imaging

Ivan Dokmanic

Depth imaging is commonly based on light. For example, LIDAR and Kinect use infrared light, while stereo cameras use visible light. These systems require hardware operating at high sampling frequencies, precise calibration, and they dissipate significant p ...

Ieee2014

Structured Sparsity Models for Reverberant Speech Separation

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammad Golbabaee

We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeling and speech recovery. We propose a scheme for characterizing the room acou ...

2014

How to Localize Ten Microphones in One Fingersnap

Martin Vetterli, Ivan Dokmanic

A compelling method to calibrate the positions of microphones in an array is with sources at unknown locations. Remarkably, it is possible to reconstruct the locations of both the sources and the receivers, if their number is larger than some prescribed mi ...

IEEE2014

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Mohammadjavad Taghizadeh

We consider the problem of ad~hoc microphone array calibration where the distance matrix consisted of all microphones pairwise distances have entries missing corresponding to distances greater than

d_{\text{max}}

. Furthermore, the known entries are noisy ...

Idiap2014

Image analysis technique applied to lock-exchange gravity currents

Helena Isabel Dos Santos Nogueira, Claudia Adduce

An image analysis technique is used to estimate the two-dimensional instantaneous density field of unsteady gravity currents produced by full-depth lock-release of saline water. An experiment reproducing a gravity current was performed in a 3.0 m long, 0.2 ...

Institute of Physics2013

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

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Enabling Speech Applications using Ad Hoc Microphone Arrays

Signal structure: from manifolds to molecules and structured sparsity

Cluster phenomenon and partial differential aging in RAP mixtures

Model-based Sparse Component Analysis for Reverberant Speech Localization

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hardware and Algorithms for Ultrasonic Depth Imaging

Structured Sparsity Models for Reverberant Speech Separation

How to Localize Ten Microphones in One Fingersnap

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Image analysis technique applied to lock-exchange gravity currents

Signal structure: from manifolds to molecules and structured sparsity

Structured Sparsity Models for Reverberant Speech Separation

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Hardware and Algorithms for Ultrasonic Depth Imaging

Cluster phenomenon and partial differential aging in RAP mixtures

Model-based Sparse Component Analysis for Reverberant Speech Localization

How to Localize Ten Microphones in One Fingersnap

Model-based Sparse Component Analysis for Reverberant Speech Localization

Enabling Speech Applications using Ad Hoc Microphone Arrays

Image analysis technique applied to lock-exchange gravity currents