Na Li

Affiliations:
  • Tencent AI Lab, Shenzhen, China


According to our database1, Na Li authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Investigating Long-Term and Short-Term Time-Varying Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

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

Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Multi-Channel Speaker Diarization Using Spatial Features for Meetings.
Proceedings of the IEEE International Conference on Acoustics, 2022

The CUHK-Tencent Speaker Diarization System for the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2022

Simple Attention Module Based Speaker Verification with Iterative Noisy Label Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Joint Training Framework of Multi-Look Separator and Speaker Embedding Extractor for Overlapped Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021

Replay and Synthetic Speech Detection with Res2Net Architecture.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Framework for Adapting DNN Speaker Embedding Across Languages.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Multi-Level Deep Neural Network Adaptation for Speaker Verification Using MMD and Consistency Regularization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Boundary Discriminative Large Margin Cosine Loss for Text-independent Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Syllable-Dependent Discriminative Learning for Small Footprint Text-Dependent Speaker Verification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Deep Discriminative Embeddings for Duration Robust Speaker Verification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
DNN-Driven Mixture of PLDA for Robust Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification.
Comput. Speech Lang., 2017

2016
Deep neural network driven mixture of PLDA for robust i-vector speaker verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

SNR-invariant PLDA with multiple speaker subspaces.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
SNR-Invariant PLDA Modeling in Nonparametric Subspace for Robust Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

SNR-invariant PLDA modeling for robust speaker verification.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
An Integration of Random Subspace Sampling and Fishervoice for Speaker Verification.
Proceedings of the Odyssey 2014: The Speaker and Language Recognition Workshop, 2014

2013
Clustering similar acoustic classes in the Fishervoice framework.
Proceedings of the IEEE International Conference on Acoustics, 2013


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