Sound field image with objects dataset

<h2>Description</h2> <p>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.</p> <h2><br>Directory structure</h2> <p>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.</p> <p>- /training</p> <p>&nbsp; &nbsp; - /soundsource#</p> <p>&nbsp; &nbsp; &nbsp; &nbsp;- sf_true.h5</p> <p>&nbsp; &nbsp; &nbsp; &nbsp;- sf_noise_white.h5</p> <p>&nbsp; &nbsp; &nbsp; &nbsp;- mask_data.h5</p> <p>&nbsp; &nbsp; &nbsp; &nbsp;- random_variables.csv</p>