Speaker tracking on multiple-manifolds with distributed microphones

Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot

doi:10.1007/978-3-319-53547-0_6

Speaker tracking on multiple-manifolds with distributed microphones

Bracha Laufer-Goldshtein
, Ronen Talmon
, Sharon Gannot

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Technion-Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Speaker tracking in a reverberant enclosure with an ad hoc network of multiple distributed microphones is addressed in this paper. A set of prerecorded measurements in the enclosure of interest is used to construct a data-driven statistical model. The function mapping the measurement-based features to the corresponding source position represents complex unknown relations, hence it is modelled as a random Gaussian process. The process is defined by a covariance function which encapsulates the relations among the available measurements and the different views presented by the distributed microphones. This model is intertwined with a Kalman filter to capture both the smoothness of the source movement in the time-domain and the smoothness with respect to patterns identified in the set of available prerecorded measurements. Simulation results demonstrate the ability of the proposed method to localize a moving source in reverberant conditions.

Original language	English
Title of host publication	Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings
Editors	Petr Tichavsky, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadege Thirion-Moreau
Publisher	Springer Verlag
Pages	59-67
Number of pages	9
ISBN (Print)	9783319535463
DOIs	https://doi.org/10.1007/978-3-319-53547-0_6
State	Published - 2017
Event	13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017 - Grenoble, France Duration: 21 Feb 2017 → 23 Feb 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10169 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017
Country/Territory	France
City	Grenoble
Period	21/02/17 → 23/02/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Keywords

Acoustic manifold
Distributed microphones
Gaussian process
Kalman filter
Speaker tracking

Access to Document

10.1007/978-3-319-53547-0_6

Cite this

Laufer-Goldshtein, B., Talmon, R., & Gannot, S. (2017). Speaker tracking on multiple-manifolds with distributed microphones. In P. Tichavsky, M. Babaie-Zadeh, O. J. J. Michel, & N. Thirion-Moreau (Eds.), Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings (pp. 59-67). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10169 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-53547-0_6

Laufer-Goldshtein, Bracha ; Talmon, Ronen ; Gannot, Sharon. / Speaker tracking on multiple-manifolds with distributed microphones. Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings. editor / Petr Tichavsky ; Massoud Babaie-Zadeh ; Olivier J.J. Michel ; Nadege Thirion-Moreau. Springer Verlag, 2017. pp. 59-67 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f7bf8dce035a4f029acbf44f066a99ff,

title = "Speaker tracking on multiple-manifolds with distributed microphones",

abstract = "Speaker tracking in a reverberant enclosure with an ad hoc network of multiple distributed microphones is addressed in this paper. A set of prerecorded measurements in the enclosure of interest is used to construct a data-driven statistical model. The function mapping the measurement-based features to the corresponding source position represents complex unknown relations, hence it is modelled as a random Gaussian process. The process is defined by a covariance function which encapsulates the relations among the available measurements and the different views presented by the distributed microphones. This model is intertwined with a Kalman filter to capture both the smoothness of the source movement in the time-domain and the smoothness with respect to patterns identified in the set of available prerecorded measurements. Simulation results demonstrate the ability of the proposed method to localize a moving source in reverberant conditions.",

keywords = "Acoustic manifold, Distributed microphones, Gaussian process, Kalman filter, Speaker tracking",

author = "Bracha Laufer-Goldshtein and Ronen Talmon and Sharon Gannot",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017 ; Conference date: 21-02-2017 Through 23-02-2017",

year = "2017",

doi = "10.1007/978-3-319-53547-0\_6",

language = "אנגלית",

isbn = "9783319535463",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "59--67",

editor = "Petr Tichavsky and Massoud Babaie-Zadeh and Michel, \{Olivier J.J.\} and Nadege Thirion-Moreau",

booktitle = "Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings",

address = "גרמניה",

}

Laufer-Goldshtein, B, Talmon, R & Gannot, S 2017, Speaker tracking on multiple-manifolds with distributed microphones. in P Tichavsky, M Babaie-Zadeh, OJJ Michel & N Thirion-Moreau (eds), Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10169 LNCS, Springer Verlag, pp. 59-67, 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, Grenoble, France, 21/02/17. https://doi.org/10.1007/978-3-319-53547-0_6

Speaker tracking on multiple-manifolds with distributed microphones. / Laufer-Goldshtein, Bracha; Talmon, Ronen; Gannot, Sharon.
Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings. ed. / Petr Tichavsky; Massoud Babaie-Zadeh; Olivier J.J. Michel; Nadege Thirion-Moreau. Springer Verlag, 2017. p. 59-67 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10169 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Speaker tracking on multiple-manifolds with distributed microphones

AU - Laufer-Goldshtein, Bracha

AU - Talmon, Ronen

AU - Gannot, Sharon

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Speaker tracking in a reverberant enclosure with an ad hoc network of multiple distributed microphones is addressed in this paper. A set of prerecorded measurements in the enclosure of interest is used to construct a data-driven statistical model. The function mapping the measurement-based features to the corresponding source position represents complex unknown relations, hence it is modelled as a random Gaussian process. The process is defined by a covariance function which encapsulates the relations among the available measurements and the different views presented by the distributed microphones. This model is intertwined with a Kalman filter to capture both the smoothness of the source movement in the time-domain and the smoothness with respect to patterns identified in the set of available prerecorded measurements. Simulation results demonstrate the ability of the proposed method to localize a moving source in reverberant conditions.

AB - Speaker tracking in a reverberant enclosure with an ad hoc network of multiple distributed microphones is addressed in this paper. A set of prerecorded measurements in the enclosure of interest is used to construct a data-driven statistical model. The function mapping the measurement-based features to the corresponding source position represents complex unknown relations, hence it is modelled as a random Gaussian process. The process is defined by a covariance function which encapsulates the relations among the available measurements and the different views presented by the distributed microphones. This model is intertwined with a Kalman filter to capture both the smoothness of the source movement in the time-domain and the smoothness with respect to patterns identified in the set of available prerecorded measurements. Simulation results demonstrate the ability of the proposed method to localize a moving source in reverberant conditions.

KW - Acoustic manifold

KW - Distributed microphones

KW - Gaussian process

KW - Kalman filter

KW - Speaker tracking

UR - https://www.scopus.com/pages/publications/85013498490

U2 - 10.1007/978-3-319-53547-0_6

DO - 10.1007/978-3-319-53547-0_6

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85013498490

SN - 9783319535463

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 59

EP - 67

BT - Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings

A2 - Tichavsky, Petr

A2 - Babaie-Zadeh, Massoud

A2 - Michel, Olivier J.J.

A2 - Thirion-Moreau, Nadege

PB - Springer Verlag

T2 - 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017

Y2 - 21 February 2017 through 23 February 2017

ER -

Laufer-Goldshtein B, Talmon R, Gannot S. Speaker tracking on multiple-manifolds with distributed microphones. In Tichavsky P, Babaie-Zadeh M, Michel OJJ, Thirion-Moreau N, editors, Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings. Springer Verlag. 2017. p. 59-67. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-53547-0_6

Speaker tracking on multiple-manifolds with distributed microphones

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this