activity
20192026
most citedLSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization

94 citations · 319 across the 46 of their papers we have counts for

collaborators

47 papers

cs.AI2026

DualTrack: Synchronized speech-gesture generation via symmetric coupling of pretrained priors

Yuanzhuo Hu, Zehan Liu, Xiaoyi Qin +1

Joint speech-gesture synthesis must coordinate two modalities despite limited paired data. Existing approaches often lack bidirectional interaction, have limited language coverage,…

eess.AS2023★ 4 cited

The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023

Ze Li, Yuke Lin, Xiaoyi Qin +3

This paper is the system description of the DKU-MSXF System for the track1, track2 and track3 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). For Track 1, we utiliz…

eess.AS2023★ 1 cited

VoxBlink: A Large Scale Speaker Verification Dataset on Camera

Yuke Lin, Xiaoyi Qin, Guoqing Zhao +4

In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual dat…

cs.SD2022★ 2 cited

Source Tracing: Detecting Voice Spoofing

Tinglong Zhu, Xingming Wang, Xiaoyi Qin +1

Recent anti-spoofing systems focus on spoofing detection, where the task is only to determine whether the test audio is fake. However, there are few studies putting attention to id…

eess.AS2022★ 5 cited

Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion

Yuxiang Zhang, Jingze Lu, Xingming Wang +5

This paper describes the deepfake audio detection system submitted to the Audio Deep Synthesis Detection (ADD) Challenge Track 3.2 and gives an analysis of score fusion. The propos…

cs.SD2022★ 6 cited

The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022

Xiaoyi Qin, Na Li, Yuke Lin +4

This paper is the system description of the DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC22). In this challenge, we focus on track1 and track3. For…

eess.AS2022

Laugh Betrays You? Learning Robust Speaker Representation From Speech Containing Non-Verbal Fragments

Yuke Lin, Xiaoyi Qin, Huahua Cui +2

The success of automatic speaker verification shows that discriminative speaker representations can be extracted from neutral speech. However, as a kind of non-verbal voice, laught…

eess.AS2022

The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

Xiaoyi Qin, Ming Li, Hui Bu +2

FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenari…

eess.AS2022★ 1 cited

The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge

Xingming Wang, Xiaoyi Qin, Yikang Wang +2

This paper describes our DKU-OPPO system for the 2022 Spoofing-Aware Speaker Verification (SASV) Challenge. First, we split the joint task into speaker verification (SV) and spoofi…

eess.AS2022

Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings

Xiaoyi Qin, Na Li, Chao Weng +2

Automatic speaker verification has achieved remarkable progress in recent years. However, there is little research on cross-age speaker verification (CASV) due to insufficient rele…

eess.AS2022

Cross-Channel Attention-Based Target Speaker Voice Activity Detection: Experimental Results for M2MeT Challenge

Weiqing Wang, Xiaoyi Qin, Ming Li

In this paper, we present the speaker diarization system for the Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) from team DKU_DukeECE. As the highly overlapped s…

cs.SD2022

Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words

Haoxu Wang, Yan Jia, Zeqing Zhao +3

Wake-up word detection models are widely used in real life, but suffer from severe performance degradation when encountering adversarial samples. In this paper we discuss the conce…

eess.AS2021

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…

cs.SD2021★ 3 cited

Simple Attention Module based Speaker Verification with Iterative noisy label detection

Xiaoyi Qin, Na Li, Chao Weng +2

Recently, the attention mechanism such as squeeze-and-excitation module (SE) and convolutional block attention module (CBAM) has achieved great success in deep learning-based speak…

cs.SD2021★ 1 cited

Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification

Qingjian Lin, Lin Yang, Xuyang Wang +3

With the development of deep learning, automatic speaker verification has made considerable progress over the past few years. However, to design a lightweight and robust system wit…

eess.AS2021★ 10 cited

The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge

Danwei Cai, Ming Li

This report describes the submission of the DKU-DukeECE team to the self-supervision speaker verification task of the 2021 VoxCeleb Speaker Recognition Challenge (VoxSRC). Our meth…

eess.AS2021★ 19 cited

The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

Weiqing Wang, Danwei Cai, Qingjian Lin +4

This report describes the submission of the DKU-DukeECE-Lenovo team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2021 track 4. Our system including a voice activity detec…

cs.SD2021

Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication

Yuanyuan Bao, Yanze Xu, Na Xu +7

Nowadays, there is a strong need to deploy the target speaker separation (TSS) model on mobile devices with a limitation of the model size and computational complexity. To better p…

eess.AS2021★ 2 cited

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

Yaogen Yang, Haozhe Zhang, Xiaoyi Qin +4

Building cross-lingual voice conversion (VC) systems for multiple speakers and multiple languages has been a challenging task for a long time. This paper describes a parallel non-a…

eess.AS2021

The DKU System Description for The Interspeech 2021 Auto-KWS Challenge

Yechen Wang, Yan Jia, Murong Ma +2

This paper introduces the system submitted by the DKU-SMIIP team for the Auto-KWS 2021 Challenge. Our implementation consists of a two-stage keyword spotting system based on query-…

cs.SD2021

Binary Neural Network for Speaker Verification

Tinglong Zhu, Xiaoyi Qin, Ming Li

Although deep neural networks are successful for many tasks in the speech domain, the high computational and memory costs of deep neural networks make it difficult to directly depl…

cs.SD2021★ 1 cited

Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion

Ziang Zhou, Yanze Xu, Ming Li

Textual escalation detection has been widely applied to e-commerce companies' customer service systems to pre-alert and prevent potential conflicts. Similarly, in public areas such…

cs.SD2021★ 3 cited

End-to-End Mandarin Tone Classification with Short Term Context Information

Jiyang Tang, Ming Li

In this paper, we propose an end-to-end Mandarin tone classification method from continuous speech utterances utilizing both the spectrogram and the short-term context information…

eess.AS2021★ 1 cited

The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge

Weiqing Wang, Qingjian Lin, Danwei Cai +2

In this paper, we present the submitted system for the third DIHARD Speech Diarization Challenge from the DKU-Duke-Lenovo team. Our system consists of several modules: voice activi…