most citedDomain Adaptation and Autoencoder Based Unsupervised Speech Enhancement

29 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Two-stage Fall Events Classification with Human Skeleton Data

Leiyu Xie, Yang Sun, Jonathon A. Chambers +1

Fall detection and classification become an imper- ative problem for healthcare applications particularity with the increasingly ageing population. Currently, most of the fall clas…

cs.SD2022

Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation

Yi Li, ShuangLin Li, Yang Sun +1

Self-supervised learning (SSL) achieves great success in monaural speech enhancement, while the accuracy of the target speech estimation, particularly for unseen speakers, remains…

cs.SD2021

Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training

Yi Li, Yang Sun, Syed Mohsen Naqvi

In self-supervised learning, it is challenging to reduce the gap between the enhancement performance on the estimated and target speech signals with existed pre-tasks. In this pape…

cs.SD2021

Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent

Yi Li, Yang Sun, Syed Mohsen Naqvi

Recently, self-supervised learning (SSL) techniques have been introduced to solve the monaural speech enhancement problem. Due to the lack of using clean phase information, the enh…

cs.SD2021★ 1 cited

U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement

Yi Li, Yang Sun, Syed Mohsen Naqvi

The state-of-the-art speech enhancement has limited performance in speech estimation accuracy. Recently, in deep learning, the Transformer shows the potential to exploit the long-r…

cs.SD2021★ 29 cited

Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement

Yi Li, Yang Sun, Kirill Horoshenkov +1

As a category of transfer learning, domain adaptation plays an important role in generalizing the model trained in one task and applying it to other similar tasks or settings. In s…