Direction of Arrival Estimation
12 papers with code • 1 benchmarks • 3 datasets
Estimating the direction-of-arrival (DOA) of a sound source from multi-channel recordings.
Benchmarks
These leaderboards are used to track progress in Direction of Arrival Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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LOCATA
TAU-NIGENS Spatial Sound Events 2021
Latest papers
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
Hence, the format enables the model to handle the polyphony problem, regardless of the number of sound overlaps.
On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation
We consider the problem of estimating the direction of arrival of desired acoustic sources in the presence of multiple acoustic interference sources.
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Our 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.
Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses
This 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 providing individual access to these components.
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
In 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 received by a microphone array.
Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers
Data-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.
SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection
thomeou/SALSA
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Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation.
What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
thomeou/SALSA
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Sound 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.
DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
thomeou/SALSA
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Sound event localization and detection consists of two subtasks which are sound event detection and direction-of-arrival estimation.
Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold
We 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.
