182 citations · 435 across the 38 of their papers we have counts for
Showing 2023 · cs.SDShow all
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cs.SD2023★ 3 cited
Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields
Susan Liang, Chao Huang, Yapeng Tian +2
Room impulse response (RIR), which measures the sound propagation within an environment, is critical for synthesizing high-fidelity audio for a given environment. Some prior work h…
cs.SD2023
PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement
Muqiao Yang, Joseph Konan, David Bick +5
Despite rapid advancement in recent years, current speech enhancement models often produce speech that differs in perceptual quality from real clean speech. We propose a learning o…
cs.SD2023★ 1 cited
Rethinking complex-valued deep neural networks for monaural speech enhancement
Haibin Wu, Ke Tan, Buye Xu +2
Despite multiple efforts made towards adopting complex-valued deep neural networks (DNNs), it remains an open question whether complex-valued DNNs are generally more effective than…