Sugar

Efficient Speech Processing Tookit for Automatic Speaker Recognition

| HuggingFace |

What’s New

supernet

  • Neural architecture Search for Speaker Recognition EfficientTDNN.

Requirements and Installation

  • PyTorch version >= 1.7.1
  • Python version >= 3.7.9
  • To install sugar:

git clone https://github.com/mechanicalsea/sugar.git
cd sugar
pip install --editable .

We provide pre-trained models for extracting speaker embeddings via huggingface.

Tutorials

Citing EfficientTDNN

Please, cite EfficientTDNN if you use it for your research or business.

@article{speechbrain,
  title={{EfficientTDNN}: Efficient Architecture Search for Speaker Recognition in the Wild},
  author={Rui Wang and Zhihua Wei and Haoran Duan and Shouling Ji and Zhen Hong},
  year={2021},
  eprint={2103.13581},
  archivePrefix={arXiv},
  primaryClass={eess.AS},
  note={arXiv:2103.13581}
}

GitHub

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