Hybrid-TDOA-Calib

This project has open source code and data for the article titled "Asynchronous Microphone Array Calibration Using Hybrid TDOA Information". This article aims to solve the calibration problem of asynchronous microphone arrays, which involves using hybrid TDOA and odometry measurements to construct a graph SLAM that simultaneously estimates microphone parameters (microphone positions, time offsets, and clock drift rates) and sound source positions. Simulation and real experiments consistently prove that our method performs better than the existing method.

Calibration Scenario

The full video with high quality is avaliable at https://youtu.be/pmVgjJdjW2E.

Audio Accessment

Link in OneDrive: https://1drv.ms/f/s!AilTdY3K-LzJgbdgoZZSl9-d8883ow?e=gFOias. After download it, place folder named "Audio" at the same level as folder "displacement". If the link has expired, send me an email to remind me.

How to use

• quick_start.m realizes the estimation and visualization of calibration results between our method and the other method.
• sim_main.m achieves simulations in paper.
• real_main.m achieves real-world experiments in paper.
• DataAnalysis.m plot the results computed from sim_main.m and real_main.m.

Details

• The first part in real_main computes TDOA-S and TDOA-M based on real-world audio in folder named "audio".
• My email: 11911918@mail.sustech.edu.cn.
• link of the paper in arxiv: https://arxiv.org/abs/2403.05791.