Sound field image with objects dataset

Description

This sound field image with objects dataset contains clean-noisy pairs of complex-valued sound-field images generated by 2D acoustic simulations. The dataset was initially prepared for SoundSil-DS (https://github.com/nttcslab/soundsil-ds), a DNN-based denoising method for optically measured sound fields. Please check our GitHub repository and paper for details.

Directory structure

The dataset contains three directories: training, validation, and evaluation. Each directory contains "soundsource#" sub-directories (# represents the number of sound sources used in the acoustic simulation). Each sub-directory has three h5 files for data (clean, white noise, and object-mask) and one CSV file listing random parameter values used in the simulation.

- /training

    - /soundsource#

       - sf_true.h5

       - sf_noise_white.h5

       - mask_data.h5

       - random_variables.csv