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DeepWaveDOA

ICASSP 2024: Robust DOA estimation from deep acoustic imaging

Install / Use

/learn @adrianSRoman/DeepWaveDOA

README

DeepWaveDOA

This repo provides the code for the ICASSP 2024 paper: "Robust DOA estimation from deep acoustic imaging."

Platform Python arXiv CC BY 4.0

Introduction

<p align="center"><img src="https://github.com/adrianSRoman/DeepWaveDOA/blob/main/figures/poster.png?raw=true" alt="Poster Presented at ICASSP 2024." width="800"/></p>

[!WARNING] DeepWaveDOA is still undergoing active development. The main backbones and their checkpoints have been provided in this repo. However, we will continue upgrading the repo to bring in the stable pipeline to train, evaluate and test the models presented in the paper.

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Citation

If you find our repository and research useful, please cite the following paper:

@inproceedings{roman2024spatial,
  title={Robust DoA Estimation from Deep Acoustic Imaging},
  author={Roman, Adrian S, Roman, Iran R and Bello, Juan P},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2024},
  organization={IEEE}
}

Related Skills

View on GitHub
GitHub Stars23
CategoryDevelopment
Updated10d ago
Forks2

Languages

Python

Security Score

80/100

Audited on Mar 17, 2026

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