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20212026
most citedUSTC-NELSLIP System Description for DIHARD-III Challenge

20 citations · 21 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.AS2024★ 1 cited

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…

eess.AS2024

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…

cs.CL2024

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…

eess.AS2024

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…

cs.SD2024

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…