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Loudspeaker and Microphone Array Signal Processing

Time of Arrival Disambiguation Using the Linear Radon Transform


Echo labeling, the challenging task of assigning acoustic reflections to image sources, is equivalent to the highly-important disambiguation task in room geometry inference. A method using the Radon transform, an image processing tool, is proposed to address this challenge. The method relies on acoustic wavefront detection in room impulse response stacks, obtained with a uniform linear array of loudspeakers and one microphone. We show in our experiments that the proposed method can both label and detect echoes.

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Authors:
Youssef El Baba, Andreas Walther, Emanuël Habets
Submitted On:
5 April 2017 - 11:44am
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LRT-SL talk.pdf

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[1] Youssef El Baba, Andreas Walther, Emanuël Habets, "Time of Arrival Disambiguation Using the Linear Radon Transform", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1790. Accessed: Aug. 20, 2017.
@article{1790-17,
url = {http://sigport.org/1790},
author = {Youssef El Baba; Andreas Walther; Emanuël Habets },
publisher = {IEEE SigPort},
title = {Time of Arrival Disambiguation Using the Linear Radon Transform},
year = {2017} }
TY - EJOUR
T1 - Time of Arrival Disambiguation Using the Linear Radon Transform
AU - Youssef El Baba; Andreas Walther; Emanuël Habets
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1790
ER -
Youssef El Baba, Andreas Walther, Emanuël Habets. (2017). Time of Arrival Disambiguation Using the Linear Radon Transform. IEEE SigPort. http://sigport.org/1790
Youssef El Baba, Andreas Walther, Emanuël Habets, 2017. Time of Arrival Disambiguation Using the Linear Radon Transform. Available at: http://sigport.org/1790.
Youssef El Baba, Andreas Walther, Emanuël Habets. (2017). "Time of Arrival Disambiguation Using the Linear Radon Transform." Web.
1. Youssef El Baba, Andreas Walther, Emanuël Habets. Time of Arrival Disambiguation Using the Linear Radon Transform [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1790

Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors

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Authors:
Ines Hafizovic, Sverre Holm
Submitted On:
13 March 2017 - 5:18am
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acoustic_imaging_presentation.pdf

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[1] Ines Hafizovic, Sverre Holm, "Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1756. Accessed: Aug. 20, 2017.
@article{1756-17,
url = {http://sigport.org/1756},
author = {Ines Hafizovic; Sverre Holm },
publisher = {IEEE SigPort},
title = {Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors},
year = {2017} }
TY - EJOUR
T1 - Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors
AU - Ines Hafizovic; Sverre Holm
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1756
ER -
Ines Hafizovic, Sverre Holm. (2017). Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors. IEEE SigPort. http://sigport.org/1756
Ines Hafizovic, Sverre Holm, 2017. Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors. Available at: http://sigport.org/1756.
Ines Hafizovic, Sverre Holm. (2017). "Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors." Web.
1. Ines Hafizovic, Sverre Holm. Acoustic imaging of sparse sources with Orthogonal Matching Pursuit and clustering of basis vectors [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1756

Microphone Array Speech Denoising Modeled by Tensor Filtering


This paper proposes a novel speech denoising method based on tensor filtering, in which the microphone array speech signal is constructed by tensor data and processed by tensor filtering model. The multi-microphone signal is represented with three-order tensor space in the way of channel, time and frequency. Noise can be reduced by finding the lower-rank approximation of the three-order tensor with tucker model. MDL (Minimum Description Length) criterion is used to estimate the optimal tensor rank.

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Authors:
Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie
Submitted On:
13 October 2016 - 8:56am
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Microphone Array Speech Denoising Modeled by Tensor Filtering

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[1] Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie, "Microphone Array Speech Denoising Modeled by Tensor Filtering", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1173. Accessed: Aug. 20, 2017.
@article{1173-16,
url = {http://sigport.org/1173},
author = {Jing Wang; Yahui Shan; Shequan Jiang; Xiang Xie },
publisher = {IEEE SigPort},
title = {Microphone Array Speech Denoising Modeled by Tensor Filtering},
year = {2016} }
TY - EJOUR
T1 - Microphone Array Speech Denoising Modeled by Tensor Filtering
AU - Jing Wang; Yahui Shan; Shequan Jiang; Xiang Xie
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1173
ER -
Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie. (2016). Microphone Array Speech Denoising Modeled by Tensor Filtering. IEEE SigPort. http://sigport.org/1173
Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie, 2016. Microphone Array Speech Denoising Modeled by Tensor Filtering. Available at: http://sigport.org/1173.
Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie. (2016). "Microphone Array Speech Denoising Modeled by Tensor Filtering." Web.
1. Jing Wang, Yahui Shan, Shequan Jiang, Xiang Xie. Microphone Array Speech Denoising Modeled by Tensor Filtering [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1173

LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement

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Authors:
Amin Hassani, Alexander Bertrand, Marc Moonen
Submitted On:
24 March 2016 - 2:57am
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ICASSP_D3.pdf

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[1] Amin Hassani, Alexander Bertrand, Marc Moonen, "LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1016. Accessed: Aug. 20, 2017.
@article{1016-16,
url = {http://sigport.org/1016},
author = {Amin Hassani; Alexander Bertrand; Marc Moonen },
publisher = {IEEE SigPort},
title = {LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement},
year = {2016} }
TY - EJOUR
T1 - LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement
AU - Amin Hassani; Alexander Bertrand; Marc Moonen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1016
ER -
Amin Hassani, Alexander Bertrand, Marc Moonen. (2016). LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement. IEEE SigPort. http://sigport.org/1016
Amin Hassani, Alexander Bertrand, Marc Moonen, 2016. LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement. Available at: http://sigport.org/1016.
Amin Hassani, Alexander Bertrand, Marc Moonen. (2016). "LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement." Web.
1. Amin Hassani, Alexander Bertrand, Marc Moonen. LCMV Beamforming with Subspace Projection for Multi-Speaker Speech Enhancement [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1016

A Distributed Algorithm For Robust LCMV Beamforming


ICASSP Slides Cover.png

These slides were produced to complement the lecture presentation delivered at ICASSP 2016 for our paper on distributed beamforming. Please find the abstract below.

ICASSP.pdf

PDF icon ICASSP.pdf (386 downloads)

Paper Details

Authors:
W. Bastiaan Kleijn, Richard Heusdens
Submitted On:
23 March 2016 - 12:38am
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ICASSP.pdf

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[1] W. Bastiaan Kleijn, Richard Heusdens, "A Distributed Algorithm For Robust LCMV Beamforming", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/982. Accessed: Aug. 20, 2017.
@article{982-16,
url = {http://sigport.org/982},
author = {W. Bastiaan Kleijn; Richard Heusdens },
publisher = {IEEE SigPort},
title = {A Distributed Algorithm For Robust LCMV Beamforming},
year = {2016} }
TY - EJOUR
T1 - A Distributed Algorithm For Robust LCMV Beamforming
AU - W. Bastiaan Kleijn; Richard Heusdens
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/982
ER -
W. Bastiaan Kleijn, Richard Heusdens. (2016). A Distributed Algorithm For Robust LCMV Beamforming. IEEE SigPort. http://sigport.org/982
W. Bastiaan Kleijn, Richard Heusdens, 2016. A Distributed Algorithm For Robust LCMV Beamforming. Available at: http://sigport.org/982.
W. Bastiaan Kleijn, Richard Heusdens. (2016). "A Distributed Algorithm For Robust LCMV Beamforming." Web.
1. W. Bastiaan Kleijn, Richard Heusdens. A Distributed Algorithm For Robust LCMV Beamforming [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/982

DOA Estimation of Audio Sources in Reverberant Environments


Reverberation is well-known to have a detrimental impact on many localization methods for audio sources. We address this problem by imposing a model for the early reflections as well as a model for the audio source itself. Using these models, we propose two iterative localization methods that estimate the direction-of-arrival (DOA) of both the direct path of the audio source and the early reflections.

Paper Details

Authors:
Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen
Submitted On:
18 March 2016 - 10:51am
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icassp2016doaReverb_jrj.pdf

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[1] Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen, "DOA Estimation of Audio Sources in Reverberant Environments", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/765. Accessed: Aug. 20, 2017.
@article{765-16,
url = {http://sigport.org/765},
author = {Jesper Kjær Nielsen; Richard Heusdens; Mads Græsbøll Christensen },
publisher = {IEEE SigPort},
title = {DOA Estimation of Audio Sources in Reverberant Environments},
year = {2016} }
TY - EJOUR
T1 - DOA Estimation of Audio Sources in Reverberant Environments
AU - Jesper Kjær Nielsen; Richard Heusdens; Mads Græsbøll Christensen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/765
ER -
Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen. (2016). DOA Estimation of Audio Sources in Reverberant Environments. IEEE SigPort. http://sigport.org/765
Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen, 2016. DOA Estimation of Audio Sources in Reverberant Environments. Available at: http://sigport.org/765.
Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen. (2016). "DOA Estimation of Audio Sources in Reverberant Environments." Web.
1. Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen. DOA Estimation of Audio Sources in Reverberant Environments [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/765