Deep Learning Models for Single-Channel Speech Enhancement on Drones
Speech enhancement for drone audition is made challenging by the strong ego-noise from the rotating motors and propellers, which leads to extremely low signal-to-noise ratios (e.g.SNR $< -15$ dB) at onboard microphones.In this paper, we extensively assess the ability of single-channel deep learning approaches to ego-noise reduction on drones.We