Weiwei Lin

Orcid: 0000-0002-9241-0271

Affiliations:
  • Hong Kong Polytechnic University, Department of Electronic and Information Engineering, China (PhD 2020)


According to our database1, Weiwei Lin authored at least 19 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis.
CoRR, 2024

2023
Model-Agnostic Meta-Learning for Fast Text-Dependent Speaker Embedding Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Robust Speaker Verification Using Deep Weight Space Ensemble.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations.
Proceedings of the International Conference on Machine Learning, 2023

2022
Mixture Representation Learning for Deep Speaker Embedding.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

A Survey on Text-Dependent and Text-Independent Speaker Verification.
IEEE Access, 2022

UNet-DenseNet for Robust Far-Field Speaker Verification.
Proceedings of the Interspeech 2022, 2022

Robust Speaker Verification Using Population-Based Data Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

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

Learning Mixture Representation for Deep Speaker Embedding Using Attention.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Strategies for End-to-End Text-Independent Speaker Verification.
Proceedings of the Interspeech 2020, 2020

Wav2Spk: A Simple DNN Architecture for Learning Speaker Embeddings from Waveforms.
Proceedings of the Interspeech 2020, 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
Semi-supervised Nuisance-attribute Networks for Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Reducing Domain Mismatch by Maximum Mean Discrepancy Based Autoencoders.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

2017
Fast scoring for PLDA with uncertainty propagation via i-vector grouping.
Comput. Speech Lang., 2017

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

2016
Fast Scoring for PLDA with Uncertainty Propagation.
Proceedings of the Odyssey 2016: The Speaker and Language Recognition Workshop, 2016


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