Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets

M. Fallon; S.J. Godsill

doi:10.1109/HSCMA.2008.4538692

Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets

M. Fallon, S.J. Godsill

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

Abstract / Description of output

Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.

Original language	English
Title of host publication	Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
Publisher	Institute of Electrical and Electronics Engineers
Pages	77-80
Number of pages	4
ISBN (Electronic)	978-1-4244-2338-5
ISBN (Print)	978-1-4244-2337-8
DOIs	https://doi.org/10.1109/HSCMA.2008.4538692
Publication status	Published - 1 May 2008

Keywords / Materials (for Non-textual outputs)

acoustic signal processing
microphone arrays
particle filtering (numerical methods)
probability
speaker recognition
speech processing
target tracking
distributed microphone array
multitarget acoustic source tracking
particle filter
speaker detection
Acoustic signal processing
Filtering
Laboratories
Microphone arrays
Particle tracking
Proposals
Signal processing algorithms
Speech enhancement
Surveillance
Target tracking
Acoustic tracking
Microphones
Monte Carlo methods
Speech processing

Access to Document

10.1109/HSCMA.2008.4538692

08_fallon_hscmaAccepted author manuscript, 69.6 KB

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4538692

Cite this

@inproceedings{a3c4cbbcc2b04b57baf69c0d4cd2db6f,

title = "Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets",

abstract = "Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.",

keywords = "acoustic signal processing, microphone arrays, particle filtering (numerical methods), probability, speaker recognition, speech processing, target tracking, distributed microphone array, multitarget acoustic source tracking, particle filter, speaker detection, Acoustic signal processing, Filtering, Laboratories, Microphone arrays, Particle tracking, Proposals, Signal processing algorithms, Speech enhancement, Surveillance, Target tracking, Acoustic tracking, Microphones, Monte Carlo methods, Speech processing",

author = "M. Fallon and S.J. Godsill",

year = "2008",

month = may,

day = "1",

doi = "10.1109/HSCMA.2008.4538692",

language = "English",

isbn = "978-1-4244-2337-8",

pages = "77--80",

booktitle = "Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

TY - GEN

T1 - Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets

AU - Fallon, M.

AU - Godsill, S.J.

PY - 2008/5/1

Y1 - 2008/5/1

N2 - Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.

AB - Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.

KW - acoustic signal processing

KW - microphone arrays

KW - particle filtering (numerical methods)

KW - probability

KW - speaker recognition

KW - speech processing

KW - target tracking

KW - distributed microphone array

KW - multitarget acoustic source tracking

KW - particle filter

KW - speaker detection

KW - Acoustic signal processing

KW - Filtering

KW - Laboratories

KW - Microphone arrays

KW - Particle tracking

KW - Proposals

KW - Signal processing algorithms

KW - Speech enhancement

KW - Surveillance

KW - Target tracking

KW - Acoustic tracking

KW - Microphones

KW - Monte Carlo methods

KW - Speech processing

U2 - 10.1109/HSCMA.2008.4538692

DO - 10.1109/HSCMA.2008.4538692

M3 - Conference contribution

SN - 978-1-4244-2337-8

SP - 77

EP - 80

BT - Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008

PB - Institute of Electrical and Electronics Engineers

ER -

Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

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