WHAM!: Extending Speech Separation to Noisy Environments
Table 1: SI-SDR [dB] oracle performance on WHAM! tasks
['Task', 'Dataset', 'Noisy', 'IRM', 'IBM', 'PSF']
To assess the difficulty of the different WHAM! tasks, we perform evaluation under oracle conditions (i.e., the masks are obtained via the ground truth reference signals). aPSF =cos(θ)|s||x|x), with s a target, n an interference, x their mixture, and θ the phase angle between s and x. While the noisy SI-SDR is lower for 16 kHz max compared to 8 kHz min, oracle performance is similar at both sampling rates for all of the tasks. We also note that SI-SDR improvement from noisy in the enhance-both case is about 2 dB lower than in the enhance-single case, suggesting that removing noise from mixtures of multiple speakers is harder than removing noise from one speaker, even without trying to separate the speakers.