Training Speech Enhancement Systems with Noisy Speech Datasets

26 May 2021

Papers citing "Training Speech Enhancement Systems with Noisy Speech Datasets"

7 / 7 papers shown

Title
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders Hao Shi Kazuki Shimada M. Hirano Takashi Shibuya Yuichiro Koyama Zhi-Wei Zhong Shusuke Takahashi Tatsuya Kawahara Yuki Mitsufuji DiffM 30 14 0 18 May 2023
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 30 21 0 01 Dec 2022
Self-Supervised Speech Denoising Using Only Noisy Audio Signals Jiasong Wu Qingchun Li Guanyu Yang Lei Li L. Senhadji H. Shu 19 10 0 30 Oct 2021
Continual self-training with bootstrapped remixing for speech enhancement Efthymios Tzinis Yossi Adi V. Ithapu Buye Xu Anurag Kumar 26 16 0 19 Oct 2021
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net Hyeong-Seok Choi Sungjin Park Jie Hwan Lee Hoon Heo Dongsuk Jeon Kyogu Lee 36 57 0 05 Feb 2021
Training Noisy Single-Channel Speech Separation With Noisy Oracle Sources: A Large Gap and A Small Step Matthew Maciejewski Jing Shi Shinji Watanabe Sanjeev Khudanpur 20 11 0 23 Oct 2020
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement Yangyang Xia Sebastian Braun Chandan K. A. Reddy Harishchandra Dubey Ross Cutler I. Tashev 29 119 0 28 Jan 2020