9 citations · 16 across the 9 of their papers we have counts for
5 papers · 1 filter
ECHOv2: A Frequency-Structured Pre-trained Acoustic Representation Model with Cross-Band Modeling for Machine Anomalous Sound Detection
Yucong Zhang, Juan Liu, Ming Li
Machine anomalous sound detection (ASD) is an important technology for industrial acoustic monitoring, where robust acoustic representation learning remains challenging due to limi…
A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection
Yucong Zhang, Juan Liu, Yao Tian +2
In contrast to human speech, machine-generated sounds of the same type often exhibit consistent frequency characteristics and discernible temporal periodicity. However, leveraging…
The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022
Weiqing Wang, Xiaoyi Qin, Ming Cheng +3
This paper discribes the DKU-DukeECE submission to the 4th track of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). Our system contains a fused voice activity detectio…
Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction
Ming Cheng, Weiqing Wang, Yucong Zhang +2
Target-speaker voice activity detection is currently a promising approach for speaker diarization in complex acoustic environments. This paper presents a novel Sequence-to-Sequence…
Low-Latency Online Speaker Diarization with Graph-Based Label Generation
Yucong Zhang, Qinjian Lin, Weiqing Wang +4
This paper introduces an online speaker diarization system that can handle long-time audio with low latency. We enable Agglomerative Hierarchy Clustering (AHC) to work in an online…