2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 2 cited
TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio
Anurag Kumar, Ke Tan, Zhaoheng Ni +4
Measuring quality and intelligibility of a speech signal is usually a critical step in development of speech processing systems. To enable this, a variety of metrics to measure qua…
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…