5 citations · 14 across the 5 of their papers we have counts for
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cs.SD2019
Universal Sound Separation
Ilya Kavalerov, Scott Wisdom, Hakan Erdogan +4
Recent deep learning approaches have achieved impressive performance on speech enhancement and separation tasks. However, these approaches have not been investigated for separating…
eess.AS2019★ 2 cited
Low-Latency Speaker-Independent Continuous Speech Separation
Takuya Yoshioka, Zhuo Chen, Changliang Liu +3
Speaker independent continuous speech separation (SI-CSS) is a task of converting a continuous audio stream, which may contain overlapping voices of unknown speakers, into a fixed…