WaveCRN: An Efficient Convolutional Recurrent Neural Network for
End-to-end Speech Enhancement

WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

6 April 2020

Xugang Lu

Papers citing "WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement"

9 / 9 papers shown

Title
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior Ching Hua Lee Chouchang Yang Jaejin Cho Yashas Malur Saidutta R. S. Srinivasa Yilin Shen Hongxia Jin DiffM 85 0 0 19 Feb 2025
Metric-oriented Speech Enhancement using Diffusion Probabilistic Model Chen Chen Yuchen Hu Weiwei Weng Chng Eng Siong DiffM 32 19 0 23 Feb 2023
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement Zhibin Qiu Mengfan Fu Yinfeng Yu Lili Yin Fuchun Sun Hao-Ming Huang DiffM 112 17 0 30 Oct 2022
Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention Xinmeng Xu Yang Wang Jie Jia Binbin Chen Dejun Li 16 9 0 30 Jun 2022
MANNER: Multi-view Attention Network for Noise Erasure Hyun Joon Park Byung Ha Kang Wooseok Shin Jin Sob Kim S. W. Han 22 48 0 04 Mar 2022
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement Kuansan Wang Kai-Chun Liu Hsin-Min Wang Yu Tsao 24 1 0 14 Feb 2022
Environment Aware Text-to-Speech Synthesis Daxin Tan Guangyan Zhang Tan Lee 13 3 0 08 Oct 2021
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement Andong Li C. Zheng Lu Zhang Xiaodong Li 11 141 0 22 Jun 2021
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement Morten Kolbæk Z. Tan S. H. Jensen Jesper Jensen AAML 60 125 0 03 Sep 2019