33 citations · 92 across the 22 of their papers we have counts for
5 papers · 1 filter
DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction
Jiarui Hai, Helin Wang, Dongchao Yang +3
Common target sound extraction (TSE) approaches primarily relied on discriminative approaches in order to separate the target sound while minimizing interference from the unwanted…
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model
Helin Wang, Thomas Thebaud, Jesus Villalba +4
We present a novel typical-to-atypical voice conversion approach (DuTa-VC), which (i) can be trained with nonparallel data (ii) first introduces diffusion probabilistic model (iii)…
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification
Helin Wang, Yuexian Zou, Wenwu Wang
In this paper, we present SpecAugment++, a novel data augmentation method for deep neural networks based acoustic scene classification (ASC). Different from other popular data augm…
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation
Helin Wang, Bo Wu, Lianwu Chen +7
In this paper, we exploit the effective way to leverage contextual information to improve the speech dereverberation performance in real-world reverberant environments. We propose…
A Global-local Attention Framework for Weakly Labelled Audio Tagging
Helin Wang, Yuexian Zou, Wenwu Wang
Weakly labelled audio tagging aims to predict the classes of sound events within an audio clip, where the onset and offset times of the sound events are not provided. Previous work…