activity
20182025
most citedOLR 2021 Challenge: Datasets, Rules and Baselines

7 citations · 16 across the 18 of their papers we have counts for

collaborators

18 papers

cs.SD2025

Continual Audio Deepfake Detection via Universal Adversarial Perturbation

Wangjie Li, Lin Li, Qingyang Hong

The rapid advancement of speech synthesis and voice conversion technologies has raised significant security concerns in multimedia forensics. Although current detection models demo…

cs.SD2025

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition

Longjie Luo, Lin Li, Qingyang Hong

Due to the lack of target speech annotations in real-recorded far-field conversational datasets, speech enhancement (SE) models are typically trained on simulated data. However, th…

cs.SD2025

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge

Longjie Luo, Shenghui Lu, Lin Li +1

This paper presents our system for the MISP-Meeting Challenge Track 2. The primary difficulty lies in the dataset, which contains strong background noise, reverberation, overlappin…

cs.SD2025

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge

Zhaoyang Li, Haodong Zhou, Longjie Luo +4

This paper presents the system developed for Task 1 of the Multi-modal Information-based Speech Processing (MISP) 2025 Challenge. We introduce CASA-Net, an embedding fusion method…

cs.SD2025

Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm

Zhaoyang Li, Jie Wang, XiaoXiao Li +4

In speaker diarization, traditional clustering-based methods remain widely used in real-world applications. However, these methods struggle with the complex distribution of speaker…

eess.AS2022

Towards A Unified Conformer Structure: from ASR to ASV Task

Dexin Liao, Tao Jiang, Feng Wang +2

Transformer has achieved extraordinary performance in Natural Language Processing and Computer Vision tasks thanks to its powerful self-attention mechanism, and its variant Conform…

eess.AS2022★ 4 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…

cs.CL2021★ 7 cited

OLR 2021 Challenge: Datasets, Rules and Baselines

Binling Wang, Wenxuan Hu, Jing Li +7

This paper introduces the sixth Oriental Language Recognition (OLR) 2021 Challenge, which intends to improve the performance of language recognition systems and speech recognition…

cs.SD2021

Oriental Language Recognition (OLR) 2020: Summary and Analysis

Jing Li, Binling Wang, Yiming Zhi +4

The fifth Oriental Language Recognition (OLR) Challenge focuses on language recognition in a variety of complex environments to promote its development. The OLR 2020 Challenge incl…

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…

cs.SD2021★ 1 cited

Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification

Yan Liu, Zheng Li, Lin Li +1

This paper proposes a multi-task learning network with phoneme-aware and channel-wise attentive learning strategies for text-dependent Speaker Verification (SV). In the proposed st…

cs.SD2021

Additive Phoneme-aware Margin Softmax Loss for Language Recognition

Zheng Li, Yan Liu, Lin Li +1

This paper proposes an additive phoneme-aware margin softmax (APM-Softmax) loss to train the multi-task learning network with phonetic information for language recognition. In addi…

eess.AS2020★ 2 cited

AP20-OLR Challenge: Three Tasks and Their Baselines

Zheng Li, Miao Zhao, Qingyang Hong +5

This paper introduces the fifth oriental language recognition (OLR) challenge AP20-OLR, which intends to improve the performance of language recognition systems, along with APSIPA…

cs.SD2018★ 2 cited

Training Multi-Task Adversarial Network for Extracting Noise-Robust Speaker Embedding

Jianfeng Zhou, Tao Jiang, Lin Li +3

Under noisy environments, to achieve the robust performance of speaker recognition is still a challenging task. Motivated by the promising performance of multi-task training in a v…