WHAM!: Extending Speech Separation to Noisy Environments

2 Jul 2019Gordon WichernJoe AntogniniMichael FlynnLicheng Richard ZhuEmmett McQuinnDwight CrowEthan ManilowJonathan Le Roux

Recent progress in separating the speech signals from multiple overlapping speakers using a single audio channel has brought us closer to solving the cocktail party problem. However, most studies in this area use a constrained problem setup, comparing performance when speakers overlap almost completely, at artificially low sampling rates, and with no external background noise... (read more)

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