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 with no code
Real-Valued 2-D Direction of Arrival Estimation via Sparse Representation
Despite many advantages of direction-of-arrivals (DOAs) in sparse representation domain, they have high computational complexity.
Riemannian Covariance Fitting for Direction-of-Arrival Estimation
In this paper, as a remedy, we present a comprehensive study of the use of various Riemannian metrics of HPD matrices in CF.
Comparison of Frequency-Fusion Mechanisms for Binaural Direction-of-Arrival Estimation for Multiple Speakers
According to how the SPS are combined, frequency fusion mechanisms are categorized into narrowband, broadband, or speaker-grouped, where the latter mechanism requires a speaker-wise grouping of frequencies.
Direction of Arrival Estimation Using Microphone Array Processing for Moving Humanoid Robots
It is also demonstrated that by using the motion-based enhancement method it is possible to improve the direction of arrival estimation performance, as compared to that obtained when using a stationary array.
Joint DOA estimation and distorted sensor detection under entangled low-rank and row-sparse constraints
The problem of joint direction-of-arrival estimation and distorted sensor detection has received a lot of attention in recent decades.
Direction-of-arrival estimation with conventional co-prime arrays using deep learning-based probablistic Bayesian neural networks
A super resolution DOA estimation method based on Bayesian neural networks and a spatially overcomplete array output formulation overcomes the pre-assumption dependencies of the model-driven DOA estimation methods.
Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique
This paper addresses the problem of direction-of-arrival (DOA) estimation for constant modulus (CM) source signals using a uniform or sparse linear array.
Exploiting an External Microphone for Binaural RTF-Vector-Based Direction of Arrival Estimation for Multiple Speakers
In hearing aid applications, an important objective is to accurately estimate the direction of arrival (DOA) of multiple speakers in noisy and reverberant environments.
Barankin-Type Bound for Constrained Parameter Estimation
The constrained Barankin-type bound (CBTB) is a nonlocal mean-squared-error (MSE) lower bound for constrained parameter estimation that does not require differentiability of the likelihood function.
One-Bit Covariance Reconstruction with Non-zero Thresholds: Algorithm and Performance Analysis
To mitigate this issue, we present a recovery scheme that incorporates time-varying thresholds.
