Afsaneh Asaei

Cette personne n’est plus à l’EPFL

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Publications associées (31)

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

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

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Volkan Cevher

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

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Afsaneh Asaei

EPFL2013

Manifold Sparse Beamforming

Afsaneh Asaei, Volkan Cevher, Baran Gözcü

We consider the minimum variance distortionless response (MVDR) beamforming problems where the array covariance matrix is rank deficient. The conventional approach handles such rank-deficiencies via diagonal loading on the covariance matrix. In this settin ...

2013

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

We cast the under-determined convolutive speech separation as sparse approximation of the spatial spectra of the mixing sources. In this framework we compare and contrast the major practical algorithms for structured sparse recovery of speech signal. Speci ...

2012

Method, apparatus and computer program product for determining the location of a plurality of speech sources

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

The present invention discloses a method, apparatus and computer program product for determining the location of a plurality of speech sources in an area of interest, comprising performing an algorithm on a signal issued by either one of said plurality of ...

2012

Structured Sparse Coding for Microphone Array Location Calibration

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

We address the problem of microphone location cali- bration where the sensor positions have a sparse spatial approximation on a discretized grid. We characterize the microphone signals as a sparse vector represented over a codebook of multi-channel signals ...

2012

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Volkan Cevher

We study the sparsity of spectro-temporal representation of speech in reverberant acoustic conditions. This study motivates the use of structured sparsity models for efﬁcient speech recovery. We formulate the underdetermined convolutive speech separation i ...

2011

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

Speaker Direction Finding for Practical Systems: A Comparison of Different Approaches

Afsaneh Asaei, Mohammadjavad Taghizadeh

Speaker direction finding techniques have aroused interests due to achieving the capability of receiving high-quality dis- tant signals. Interesting concepts can be achieved through the comparison of such techniques whereby importance is in achieving high ...

2007

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