activity
20202022
most citedThe DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

19 citations · 32 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.AS2022

LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge

Yan Jia, Mi Hong, Jingyu Hou +7

This paper describes LeVoice automatic speech recognition systems to track2 of intelligent cockpit speech recognition challenge 2022. Track2 is a speech recognition task without li…

eess.AS202119 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…

eess.AS20211 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.AS20202 cited

Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

Haiwei Wu, Lin Zhang, Lin Yang +4

This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020. For the mask detection task, we train deep convolutional ne…

eess.AS20203 cited

Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection

Murong Ma, Haiwei Wu, Xuyang Wang +3

In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection. Different from previous…

eess.AS2020

DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team

Qingjian Lin, Weicheng Cai, Lin Yang +3

In this paper, we present the submitted system for the second DIHARD Speech Diarization Challenge from the DKULENOVO team. Our diarization system includes multiple modules, namely…