Adaptive eigenvalue decomposition algorithm for passive acoustic source localization
Abstract
To find the position of an acoustic source in a room, the relative delay between two (or more) microphone signals for the direct sound must be determined. The generalized cross-correlation method is the most popular technique to do so and is well explained in a landmark paper by Knapp and Carter. In this paper, a new approach is proposed that is based on eigenvalue decomposition. Indeed, the eigenvector corresponding to the minimum eigenvalue of the covariance matrix of the microphone signals contains the impulse responses between the source and the microphone signals (and therefore all the information we need for time delay estimation). In experiments, the proposed algorithm performs well and is very accurate.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A more realistic reverberation model has been used to describe the TDE problem in a room environment where each sensor often receives a large number of echoes due to reflections from objects and room boundaries.
“Recently, a more realistic reverberation model has been used to describe the TDE problem in a room environment where each sensor often receives a large number of echoes due to reflections of the wavefront from objects and room boundaries such as walls, ceiling, and floor [15, 36, 37].”
From Time Delay Estimation in Room Acoustic Environments: An Overview (2006) · cites this paper as [15]
The citation lists haven’t been fetched yet
References 25 · Cited by 356
- Authors
- Benesty, J.
- Affiliations
- Alcatel-Lucent (France) (FR)
- Corresponding author
- Benesty, Jacob
- ORCID
- Benesty, Jacob
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2000-01-01
- Volume
- 107
- Issue
- 1
- Pages
- 384-391
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2128970593
- Cited by
- 356
- References
- 25
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 5 · 2023: 14 · 2022: 6 · 2021: 12 · 2020: 23 · 2019: 15 · 2018: 17 · 2017: 20 · 2016: 20 · 2015: 13 · 2014: 22 · 2013: 24 · 2012: 17
- FWCI
- 10.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of the Acoustical Society of America (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Keywords
- passive acoustic source localization, eigenvalue decomposition, time delay estimation, microphone array, covariance matrix eigenvectors, impulse response estimation, generalized cross-correlation, room acoustics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
