29 citations · 49 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…