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Na Li 0012
Person information
- affiliation: Tencent AI Lab, Shenzhen, China
Other persons with the same name
- Na Li — disambiguation page
- Na Li 0001 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Technologies, China
- Na Li 0002 — Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA (and 1 more)
- Na Li 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Na Li 0004 — Nanjing Normal University, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, China
- Na Li 0005 — McMaster University, McMaster Centre for Transfusion Research, Hamilton, ON, Canada (and 1 more)
- Na Li 0006 — Shandong University of Finance and Economics, School of Statistics, Jinan, China
- Na Li 0007 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, School of Mechanical Engineering, China (and 1 more)
- Na Li 0008 — Prairie View A&M University, TX USA (and 1 more)
- Na Li 0009 — University of Rennes I, France
- Na Li 0010 — École Polytechnique Fédérale de Lausanne, EPFL, School of Engineering, Switzerland
- Na Li 0011 — University of Technology of Troyes, France
- Na Li 0013 — Henan University, School of Mathematics and Statistics, Kaifeng, China (and 2 more)
- Na Li 0014 — Beihang University, School of Instrumentation Science and Opto-Electronic Engineering, Beijing, China (and 1 more)
- Na Li 0015 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 2 more)
- Na Li 0016 — University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China
- Na Li 0017 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Na Li 0018 — University of Shanghai for Science and Technology, Shanghai, China (and 1 more)
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2020 – today
- 2024
- [j5]Xiaoyi Qin, Na Li, Shufei Duan, Ming Li:
Investigating Long-Term and Short-Term Time-Varying Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3408-3423 (2024) - 2022
- [c18]Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li:
Simple Attention Module Based Speaker Verification with Iterative Noisy Label Detection. ICASSP 2022: 6722-6726 - [c17]Naijun Zheng, Na Li, Jianwei Yu, Chao Weng, Dan Su, Xunying Liu, Helen Meng:
Multi-Channel Speaker Diarization Using Spatial Features for Meetings. ICASSP 2022: 7337-7341 - [c16]Naijun Zheng, Na Li, Xixin Wu, Lingwei Meng, Jiawen Kang, Haibin Wu, Chao Weng, Dan Su, Helen Meng:
The CUHK-Tencent Speaker Diarization System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge. ICASSP 2022: 9161-9165 - [c15]Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li:
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings. INTERSPEECH 2022: 1436-1440 - [i7]Naijun Zheng, Na Li, Xixin Wu, Lingwei Meng, Jiawen Kang, Haibin Wu, Chao Weng, Dan Su, Helen Meng:
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge. CoRR abs/2202.01986 (2022) - [i6]Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li:
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings. CoRR abs/2207.05929 (2022) - [i5]Xiaoyi Qin, Na Li, Yuke Lin, Yiwei Ding, Chao Weng, Dan Su, Ming Li:
The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022. CoRR abs/2210.05092 (2022) - 2021
- [c14]Xu Li, Na Li, Chao Weng, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
Replay and Synthetic Speech Detection with Res2Net Architecture. ICASSP 2021: 6354-6358 - [c13]Naijun Zheng, Na Li, Bo Wu, Meng Yu, Jianwei Yu, Chao Weng, Dan Su, Xunying Liu, Helen Meng:
A Joint Training Framework of Multi-Look Separator and Speaker Embedding Extractor for Overlapped Speech. ICASSP 2021: 6698-6702 - [i4]Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li:
Simple Attention Module based Speaker Verification with Iterative noisy label detection. CoRR abs/2110.06534 (2021) - 2020
- [j4]Weiwei Lin, Man-Wai Mak, Na Li, Dan Su, Dong Yu:
A Framework for Adapting DNN Speaker Embedding Across Languages. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2810-2822 (2020) - [c12]Weiwei Lin, Man-Wai Mak, Na Li, Dan Su, Dong Yu:
Multi-Level Deep Neural Network Adaptation for Speaker Verification Using MMD and Consistency Regularization. ICASSP 2020: 6839-6843 - [c11]Xu Li, Na Li, Jinghua Zhong, Xixin Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification. INTERSPEECH 2020: 1540-1544 - [i3]Xu Li, Na Li, Jinghua Zhong, Xixin Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification. CoRR abs/2006.06186 (2020) - [i2]Xu Li, Na Li, Chao Weng, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
Replay and Synthetic Speech Detection with Res2net Architecture. CoRR abs/2010.15006 (2020)
2010 – 2019
- 2019
- [c10]Junyi Peng, Yuexian Zou, Na Li, Deyi Tuo, Dan Su, Meng Yu, Chunlei Zhang, Dong Yu:
Syllable-Dependent Discriminative Learning for Small Footprint Text-Dependent Speaker Verification. ASRU 2019: 350-357 - [c9]Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu:
Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data. ICASSP 2019: 5696-5700 - [c8]Yichi Zhang, Meng Yu, Na Li, Chengzhu Yu, Jia Cui, Dong Yu:
Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification. ICASSP 2019: 6131-6135 - [c7]Rongjin Li, Na Li, Deyi Tuo, Meng Yu, Dan Su, Dong Yu:
Boundary Discriminative Large Margin Cosine Loss for Text-independent Speaker Verification. ICASSP 2019: 6321-6325 - [i1]Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu:
Learning discriminative features in sequence training without requiring framewise labelled data. CoRR abs/1905.06907 (2019) - 2018
- [c6]Na Li, Deyi Tuo, Dan Su, Zhifeng Li, Dong Yu:
Deep Discriminative Embeddings for Duration Robust Speaker Verification. INTERSPEECH 2018: 2262-2266 - 2017
- [j3]Na Li, Man-Wai Mak, Weiwei Lin, Jen-Tzung Chien:
Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification. Comput. Speech Lang. 45: 83-103 (2017) - [j2]Na Li, Man-Wai Mak, Jen-Tzung Chien:
DNN-Driven Mixture of PLDA for Robust Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1371-1383 (2017) - 2016
- [c5]Na Li, Man-Wai Mak:
SNR-invariant PLDA with multiple speaker subspaces. ICASSP 2016: 5565-5569 - [c4]Na Li, Man-Wai Mak, Jen-Tzung Chien:
Deep neural network driven mixture of PLDA for robust i-vector speaker verification. SLT 2016: 186-191 - 2015
- [j1]Na Li, Man-Wai Mak:
SNR-Invariant PLDA Modeling in Nonparametric Subspace for Robust Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 23(10): 1648-1659 (2015) - [c3]Na Li, Man-Wai Mak:
SNR-invariant PLDA modeling for robust speaker verification. INTERSPEECH 2015: 2317-2321 - 2014
- [c2]Jinghua Zhong, Weiwu Jiang, Helen Meng, Na Li, Zhifeng Li:
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification. Odyssey 2014: 88-93 - 2013
- [c1]Na Li, Weiwu Jiang, Helen M. Meng, Zhifeng Li:
Clustering similar acoustic classes in the Fishervoice framework. ICASSP 2013: 7726-7730
Coauthor Index
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last updated on 2025-02-05 20:33 CET by the dblp team
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