20 citations · 21 across the 8 of their papers we have counts for
8 papers
Beyond Speech: Dual-Domain SSL Fusion for Unified All-Type Audio Deepfake Detection
Cunhang Fan, Junqin Cao, Tian Gao +4
Unified all-type audio deepfake detection aims to determine whether an input clip is real or fake when its audio type may be speech, environmental sound, singing voice, or music. E…
DCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech Recognition under Realistic Single-Channel Conditions
Shu-Tong Niu, Jun Du, Ruo-Yu Wang +4
We propose a single-channel Deep Cascade Fusion of Diarization and Separation (DCF-DS) framework for back-end automatic speech recognition (ASR), combining neural speaker diarizati…
The USTC-NERCSLIP Systems for the CHiME-8 NOTSOFAR-1 Challenge
Shutong Niu, Ruoyu Wang, Jun Du +17
This technical report outlines our submission system for the CHiME-8 NOTSOFAR-1 Challenge. The primary difficulty of this challenge is the dataset recorded across various conferenc…
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention
Yuzhe Weng, Haotian Wang, Tian Gao +3
In multimodal sentiment analysis, collecting text data is often more challenging than video or audio due to higher annotation costs and inconsistent automatic speech recognition (A…
Incorporating Spatial Cues in Modular Speaker Diarization for Multi-channel Multi-party Meetings
Ruoyu Wang, Shutong Niu, Gaobin Yang +4
Although fully end-to-end speaker diarization systems have made significant progress in recent years, modular systems often achieve superior results in real-world scenarios due to…
Multitask frame-level learning for few-shot sound event detection
Liang Zou, Genwei Yan, Ruoyu Wang +4
This paper focuses on few-shot Sound Event Detection (SED), which aims to automatically recognize and classify sound events with limited samples. However, prevailing methods method…
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge
Ruoyu Wang, Maokui He, Jun Du +16
This technical report details our submission system to the CHiME-7 DASR Challenge, which focuses on speaker diarization and speech recognition under complex multi-speaker scenarios…
USTC-NELSLIP System Description for DIHARD-III Challenge
Yuxuan Wang, Maokui He, Shutong Niu +6
This system description describes our submission system to the Third DIHARD Speech Diarization Challenge. Besides the traditional clustering based system, the innovation of our sys…