README.md

About the WHAMR dataset

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}
}