Browse State-of-the-Art › Direction of Arrival Estimation
Direction of Arrival Estimation
17 papers with code · 1 benchmark · 3 datasets archive 2025-07-28
Estimating the direction-of-arrival (DOA) of a sound source from multi-channel recordings.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| SOFA (1 row) | reg-cartesian | Regression and Classification for Direction-of-Arrival Estimation... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
17 shown of 17 papers with code (94 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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10 Nov 2024 2 repositories listedRecently, deep neural networks trained on large-scale datasets have achieved remarkable success in the sound event classification (SEC) field, prompting an open question of whether these advancements can be extended to…
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5 Sep 2022 2 repositories listedOur system submitted to the DCASE 2022 Task 3 is based on our previous proposed Event-Independent Network V2 (EINV2) with a novel data augmentation method.
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31 Mar 2022 2 repositories listedIn this paper, we present a new model for Direction of Arrival (DOA) estimation of sound sources based on an Icosahedral Convolutional Neural Network (CNN) applied over SRP-PHAT power maps computed from the signals…
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29 Oct 2021 2 repositories listedData-based and learning-based sound source localization (SSL) has shown promising results in challenging conditions, and is commonly set as a classification or a regression problem.
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17 May 2025 1 repository listedOver the past decades, there has been a surge of interest in studying low-dimensional structures within high-dimensional data.
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11 Apr 2025 1 repository listedOnly recently, SELD was extended to 3D by incorporating distance estimation, enabling the prediction of sound event positions in 3D space (3D SELD).
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26 Feb 2025 1 repository listedThis paper introduces CADMM-Net and CHADMM-Net, two deep neural networks for direction of arrival estimation within the least-absolute shrinkage and selection operator (LASSO) framework.
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19 Feb 2025 1 repository listedThis paper presents Toeplitz-Hermitian ADMM-Net (THADMM-Net), a deep neural network obtained by deep unfolding the alternating direction method of multipliers (ADMM) algorithm for solving the least absolute shrinkage…
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28 Mar 2023 1 repository listed Syntology ran 1 of 8 samples · 7 unverifiedHence, the format enables the model to handle the polyphony problem, regardless of the number of sound overlaps.
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9 Jan 2023 1 repository listedWe consider the problem of estimating the direction of arrival of desired acoustic sources in the presence of multiple acoustic interference sources.
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20 Jul 2022 1 repository listedThis work proposes a subspace method that decomposes SRIRs into a direct part, which comprises the direct sound and the salient reflections, and a residual, to facilitate enhanced analysis and rendering methods by…
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1 Oct 2021 1 repository listedSound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation.
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22 Jul 2021 1 repository listedSound event localization and detection (SELD) is an emerging research topic that aims to unify the tasks of sound event detection and direction-of-arrival estimation.
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29 Jun 2021 1 repository listedSound event localization and detection consists of two subtasks which are sound event detection and direction-of-arrival estimation.
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2 Jun 2021 1 repository listedWe propose a generalized formulation of direction of arrival estimation that includes many existing methods such as steered response power, subspace, coherent and incoherent, as well as speech sparsity-based methods.
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1 Dec 2019 1 repository listedThe performance of the proposed method is evaluated with numerical simulations and it is shown that the proposed array geometries VCA and VNA can provide much less sensors as compared to the conventional coprime planar…
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17 Apr 2019 1 repository listedWe present a novel learning-based approach to estimate the direction-of-arrival (DOA) of a sound source using a convolutional recurrent neural network (CRNN) trained via regression on synthetic data and Cartesian labels.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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