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Integrating smooth motion assumptions with RANSAC-based sound source localization

Gulin, Jens LU orcid ; Åström, Kalle LU orcid and Aminifar, Amir LU orcid (2025) 33rd European Signal Processing Conference (EUSIPCO 2025) p.226-230
Abstract
The momentary localization of a single sound source, in an environment with microphones distributed at known positions, can be done with multilateration, using time-difference-of-arrival (TDOA) estimates. However, TDOA estimates from cross-correlation are noisy in real environments, and a robust multilateration method must handle outliers. Assuming constraints on the smoothness of movement over time, the location estimate can be improved for both stationary and moving sources. In this work, the smooth motion assumption is explored in different stages of a RANSAC-based (Random Sample Consensus) implementation. The evaluation is done on real recordings from the public LuViRA dataset, giving the first 3D baseline result on the dataset. Each... (More)
The momentary localization of a single sound source, in an environment with microphones distributed at known positions, can be done with multilateration, using time-difference-of-arrival (TDOA) estimates. However, TDOA estimates from cross-correlation are noisy in real environments, and a robust multilateration method must handle outliers. Assuming constraints on the smoothness of movement over time, the location estimate can be improved for both stationary and moving sources. In this work, the smooth motion assumption is explored in different stages of a RANSAC-based (Random Sample Consensus) implementation. The evaluation is done on real recordings from the public LuViRA dataset, giving the first 3D baseline result on the dataset. Each of the proposed steps is shown to reduce the localization error compared to the benchmark method. (Less)
Abstract (Swedish)
Att vid ett tillfälle avgöra positionen för en ensam ljudkälla, i en omgivning med mikrofoner utspridda på kända positioner, kan göras med multilaterering, genom uppskattade ankomsttidskillnader (TDOA, time-difference-of-arrival).
TDOA uppskattad med korskorrelation är emellertid brusig i verkliga miljöer, och metoder för robust multilaterering måste kunna hantera avvikande värden. Att som begränsning anta en mjuk rörelse över tid kan förbättra den uppskattade positionen för både stillastående och rörliga ljudkällor. I detta arbete utforskas hur antagandet om mjuk rörelse kan tas med i olika steg av en RANSAC-baserad (Random Sample Consensus) implementation. Utvärderingen görs på riktiga inspelningar från det publika LuViRA datasetet,... (More)
Att vid ett tillfälle avgöra positionen för en ensam ljudkälla, i en omgivning med mikrofoner utspridda på kända positioner, kan göras med multilaterering, genom uppskattade ankomsttidskillnader (TDOA, time-difference-of-arrival).
TDOA uppskattad med korskorrelation är emellertid brusig i verkliga miljöer, och metoder för robust multilaterering måste kunna hantera avvikande värden. Att som begränsning anta en mjuk rörelse över tid kan förbättra den uppskattade positionen för både stillastående och rörliga ljudkällor. I detta arbete utforskas hur antagandet om mjuk rörelse kan tas med i olika steg av en RANSAC-baserad (Random Sample Consensus) implementation. Utvärderingen görs på riktiga inspelningar från det publika LuViRA datasetet, det första publicerade 3D resultatet för datat. Vardera av de föreslagna stegen visas förbättra lokaliseringsfelet i jämförelse mot grundmetoden.
(Less)
Please use this url to cite or link to this publication:
author
; and
organization
alternative title
Integration av antagande om mjuk rörelse i RANSAC-baserad lokalisering av ljudkälla
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
TDOA, GCC-PHAT, Smooth motion, RANSAC, SSL
host publication
33rd European Signal Processing Conference : EUSIPCO 2025. 8 - 12 September, 2025, Palermo, Italy - EUSIPCO 2025. 8 - 12 September, 2025, Palermo, Italy
pages
5 pages
conference name
33rd European Signal Processing Conference (EUSIPCO 2025)
conference location
Palermo, Italy
conference dates
2025-09-08 - 2025-09-12
ISBN
978-9-46-459362-4
language
English
LU publication?
yes
id
015f9c5d-3d07-4059-aba8-09d5ef102682
alternative location
https://eusipco2025.org/wp-content/uploads/pdfs/0000226.pdf
date added to LUP
2025-09-04 08:26:39
date last changed
2025-09-26 03:28:11
@inproceedings{015f9c5d-3d07-4059-aba8-09d5ef102682,
  abstract     = {{The momentary localization of a single sound source, in an environment with microphones distributed at known positions, can be done with multilateration, using time-difference-of-arrival (TDOA)  estimates. However, TDOA estimates from cross-correlation  are noisy in real environments, and a robust multilateration method must handle outliers. Assuming constraints on the smoothness of movement over time, the location estimate can be improved for both stationary and moving sources. In this work, the smooth motion assumption is explored in different stages of a RANSAC-based (Random Sample Consensus) implementation. The evaluation is done on real recordings from the public LuViRA dataset, giving the first 3D baseline result on the dataset. Each of the proposed steps is shown to reduce the localization error compared to the benchmark method.}},
  author       = {{Gulin, Jens and Åström, Kalle and Aminifar, Amir}},
  booktitle    = {{33rd European Signal Processing Conference : EUSIPCO 2025. 8 - 12 September, 2025, Palermo, Italy}},
  isbn         = {{978-9-46-459362-4}},
  keywords     = {{TDOA; GCC-PHAT; Smooth motion; RANSAC; SSL}},
  language     = {{eng}},
  month        = {{09}},
  pages        = {{226--230}},
  title        = {{Integrating smooth motion assumptions with RANSAC-based sound source localization}},
  url          = {{https://eusipco2025.org/wp-content/uploads/pdfs/0000226.pdf}},
  year         = {{2025}},
}