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20182022
most citedOLR 2021 Challenge: Datasets, Rules and Baselines

7 citations · 12 across the 10 of their papers we have counts for

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eess.AS20224 cited

Spatial-aware Speaker Diarization for Multi-channel Multi-party Meeting

Jie Wang, Yuji Liu, Binling Wang +7

This paper describes a spatial-aware speaker diarization system for the multi-channel multi-party meeting. The diarization system obtains direction information of speaker by microp…

eess.AS2022

Deep Representation Decomposition for Rate-Invariant Speaker Verification

Fuchuan Tong, Siqi Zheng, Haodong Zhou +3

While promising performance for speaker verification has been achieved by deep speaker embeddings, the advantage would reduce in the case of speaking-style variability. Speaking ra…

eess.AS2022

Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data

Fuchuan Tong, Siqi Zheng, Min Zhang +4

Unsupervised clustering on speakers is becoming increasingly important for its potential uses in semi-supervised learning. In reality, we are often presented with enormous amounts…

eess.AS2022

The xmuspeech system for multi-channel multi-party meeting transcription challenge

Jie Wang, Yuji Liu, Binling Wang +7

This paper describes the system developed by the XMUSPEECH team for the Multi-channel Multi-party Meeting Transcription Challenge (M2MeT). For the speaker diarization task, we prop…

eess.AS2021

XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021

Jie Wang, Fuchuang Tong, Zhicong Chen +3

This paper describes the XMUSPEECH speaker recognition and diarisation systems for the VoxCeleb Speaker Recognition Challenge 2021. For track 2, we evaluate two systems including R…

eess.AS2021

An Integrated Framework for Two-pass Personalized Voice Trigger

Dexin Liao, Jing Li, Yiming Zhi +3

In this paper, we present the XMUSPEECH system for Task 1 of 2020 Personalized Voice Trigger Challenge (PVTC2020). Task 1 is a joint wake-up word detection with speaker verificatio…