Direction of Arrival Estimation

8 papers with code • 1 benchmarks • 3 datasets

Estimating the direction-of-arrival (DOA) of a sound source from multi-channel recordings.

Most implemented papers

Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers

sharathadavanne/doa-net 29 Oct 2021

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.

Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

daviddiazguerra/icocnn 31 Mar 2022

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.

Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks

GAMMA-UMD/doa-release 17 Apr 2019

We 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.

V-Shaped Sparse Arrays For 2-D DOA Estimation

meuseabe/VshapedSparseArray 1 Dec 2019

The 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 arrays.

Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold

fakufaku/doamm 2 Jun 2021

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.

DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection

thomeou/SALSA 29 Jun 2021

Sound event localization and detection 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 22 Jul 2021

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.

SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection

thomeou/SALSA 1 Oct 2021

Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation.