24 citations · 33 across the 6 of their papers we have counts for
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cs.SD2026
WhispSynth: Scaling Multilingual Whisper Corpus through Real Data Curation and A Novel Pitch-free Generative Framework
Tianyi Tan, Jiaxin Ye, Yuanming Zhang +4
Whisper generation is constrained by the difficulty of data collection. Because whispered speech has low acoustic amplitude, high-fidelity recording is challenging. In this paper,…
cs.SD2022★ 24 cited
Inference skipping for more efficient real-time speech enhancement with parallel RNNs
Xiaohuai Le, Tong Lei, Kai Chen +1
Deep neural network (DNN) based speech enhancement models have attracted extensive attention due to their promising performance. However, it is difficult to deploy a powerful DNN i…
cs.SD2021★ 7 cited
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement
Xiaohuai Le, Hongsheng Chen, Kai Chen +1
The dual-path RNN (DPRNN) was proposed to more effectively model extremely long sequences for speech separation in the time domain. By splitting long sequences to smaller chunks an…