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

Yanpei Shi, Qiang Huang 0008, Thomas Hain. H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model. Neural Networks, 142:329-339, 2021. [doi]

@article{ShiHH21-1,
  title = {H-VECTORS: Improving the robustness in utterance-level speaker embeddings using a hierarchical attention model},
  author = {Yanpei Shi and Qiang Huang 0008 and Thomas Hain},
  year = {2021},
  doi = {10.1016/j.neunet.2021.05.024},
  url = {https://doi.org/10.1016/j.neunet.2021.05.024},
  researchr = {https://researchr.org/publication/ShiHH21-1},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {142},
  pages = {329-339},
}