Yanpei Shi

PhD thesis, 2021

H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model.

[BibT_eX]

[DOI]

Neural Networks, 2021

Supervised Speaker Embedding De-Mixing in Two-Speaker Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Contextual Joint Factor Acoustic Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Towards Low-Resource Stargan Voice Conversion Using Weight Adaptive Instance Normalization.

[BibT_eX]

[DOI]

Mingjie Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Speaker Recognition Using Speech Enhancement And Attention Model.

[BibT_eX]

[DOI]

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Speaker Re-Identification with Speaker Dependent Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Contextual Joint Factor Acoustic Embeddings.

[BibT_eX]

[DOI]

CoRR, 2019

Improving Robustness In Speaker Identification Using A Two-Stage Attention Model.

[BibT_eX]

[DOI]