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

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Showing 2021Show all

13 papers · 1 filter

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…

eess.AS2021★ 6 cited

The 2020 Personalized Voice Trigger Challenge: Open Database, Evaluation Metrics and the Baseline Systems

Yan Jia, Xingming Wang, Xiaoyi Qin +4

The 2020 Personalized Voice Trigger Challenge (PVTC2020) addresses two different research problems a unified setup: joint wake-up word detection with speaker verification on close-…