Publication

Spatial echogram analysis of a small auditorium with observations on the dispersion of early reflections

Publications associées (13)

Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Volkan Cevher, Saeid Haghighatshoar

We propose a sparse coding approach to address the problem of source-sensor localization and speech reconstruction. This approach relies on designing a dictionary of spatialized signals by projecting the microphone array recordings into the array manifolds ...

Institute of Electrical and Electronics Engineers2016

Linking Models and Experiments

Dominique Bonvin, Diogo Filipe Mateus Rodrigues, René Uwe Schneider

This position paper gives an overview of the discussion that took place at FIPSE 2 at Aldemar Resort, east of Heraklion, Crete, in June 21-23, 2014. This is the second conference in the series "Future Innovation in Process Systems Engineering" (http://fi-i ...

Amer Chemical Soc2016

Enabling Speech Applications using Ad Hoc Microphone Arrays

Mohammadjavad Taghizadeh

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

Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery

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

Single-Channel Indoor Microphone Localization

Martin Vetterli, Reza Parhizkar, Ivan Dokmanic

We propose a novel method for single-channel microphone localization inside a known room. Unlike other approaches, we take advantage of the room reverberation, which enables us to use only a single fixed loudspeaker to localize the microphone. Our method u ...

IEEE2014

Structured Sparsity Models for Reverberant Speech Separation

Hervé Bourlard, Mohammad Golbabaee, Afsaneh Asaei, Volkan Cevher

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

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

Acoustic Echoes Reveal Room Shape

Martin Vetterli, Reza Parhizkar, Yue Lu, Andreas Walther, Ivan Dokmanic

Imagine that you are blindfolded inside an unknown room. You snap your fingers and listen to the room’s response. Can you hear the shape of the room? Some people can do it naturally, but can we design computer algorithms that hear rooms? We show how to com ...

National Academy of Sciences2013

Verified Speaker Localization Utilizing Voicing Level in Split-bands

Afsaneh Asaei, Mohammadjavad Taghizadeh

This paper proposes a joint verification-localization structure based on split-band analysis of speech signal and the mixed voicing level. To address the problems in reverberant acoustic environments, a new fundamental frequency estimation algorithm is pro ...

2009

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...

IEEE Institute of Electrical and Electronics Engineers2008

Spatio-temporal analysis of spontaneous speech with microphone arrays

Guillaume Lathoud

Accurate detection, localization and tracking of multiple moving speakers permits a wide spectrum of applications. Techniques are required that are versatile, robust to environmental variations, and not constraining for non-technical end-users. Based on di ...

EPFL2007

Étude des fondements physiques possibles des concepts numériques utilisés dans les méthodes d'acoustique géométrique

Thomas Guignard

The subject of the work presented here is the study of the acoustical ray method, which aims at describing a pressure field by an analogy with light rays. The concept of a wave is therefore replaced by the concept of "acoustical rays", whose paths through ...

EPFL2006