Binaural recording

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Related publications (27)

Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery

Hervé Bourlard, Afsaneh Asaei, Philip Neil Garner, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

A novel localization approach is proposed in order to find the position of an individual source using recordings of a single microphone in a reverberant enclosure. The multipath propagation is modeled by multiple virtual microphones as images of the actual ...

Ieee-Inst Electrical Electronics Engineers Inc2015

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

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

Implementation of a binaural localization algorithm in hearing aids: Specifications and achievable solutions

Hervé Lissek, Patrick Marmaroli, Gilles André Courtois

This article introduces the constraints and issues related to the implementation of a binaural localization algorithm on a pair of hearing aids. The algorithm should improve the rendering of the spatial information available in the audio signals, which are ...

2014

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

Euclidean Distance Matrices : Properties, Algorithms and Applications

Reza Parhizkar

Euclidean distance matrices (EDMs) are central players in many diverse fields including psychometrics, NMR spectroscopy, machine learning and sensor networks. However, they are not often exploited in signal processing. In this thesis, we analyze attributes ...

EPFL2013

Perception and Reproduction of Auditory Spatial Impression

Andreas Walther

As audio reproduction systems evolve to incorporate many loudspeakers, the potential to evoke faithful auditory spatial impressions increases. Psychoacoustic principles of auditory spatial perception, and methods for production and reproduction of acoustic ...

EPFL2013

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