2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SD2024
Simi-SFX: A similarity-based conditioning method for controllable sound effect synthesis
Yunyi Liu, Craig Jin
Generating sound effects with controllable variations is a challenging task, traditionally addressed using sophisticated physical models that require in-depth knowledge of signal p…
cs.SD2024
ICGAN: An implicit conditioning method for interpretable feature control of neural audio synthesis
Yunyi Liu, Craig Jin
Neural audio synthesis methods can achieve high-fidelity and realistic sound generation by utilizing deep generative models. Such models typically rely on external labels which are…
eess.AS2023★ 2 cited
DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing
Yunyi Liu, Craig Jin, David Gunawan
Controlling the variations of sound effects using neural audio synthesis models has been a difficult task. Differentiable digital signal processing (DDSP) provides a lightweight so…