WHAMR! is a noisy and reverberant single-channel speech separation dataset based on WSJ0. It is a reverberant extension of WHAM!.
Note that WHAMR! can synthesize binaural recordings, but we only consider the single channel for now.
More info here. References
@misc{maciejewski2019whamr,
title={WHAMR!: Noisy and Reverberant Single-Channel Speech Separation},
author={Matthew Maciejewski and Gordon Wichern and Emmett McQuinn and Jonathan Le Roux},
year={2019},
eprint={1910.10279},
archivePrefix={arXiv},
primaryClass={cs.SD}
}