61 citations · 277 across the 41 of their papers we have counts for
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eess.AS2018★ 1 cited
Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Estimating time-frequency domain masks for speech enhancement using deep learning approaches has recently become a popular field of research. In this paper, we propose a mask-based…
eess.AS2018★ 2 cited
Convolutional Neural Networks to Enhance Coded Speech
Ziyue Zhao, Huijun Liu, Tim Fingscheidt
Enhancing coded speech suffering from far-end acoustic background noise, quantization noise, and potentially transmission errors, is a challenging task. In this work we propose two…