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SPIRAL-base-MCT
huawei-noah/SPIRAL-base-MCT
SPIRAL-base-MCT is a machine learning model from huawei-noah. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training ========
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Updated Jun 23, 2022
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At a glance
- Access
- Public
- Created
- Jun 17, 2022
- Updated
- Jun 23, 2022
- SHA
- d7320e07
Model card
From the Hugging Face model README
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
This is the pretrained model of SPIRAL Base with Multi-Condition Training, trained with 960-hour LibriSpeech data, and noise dataset from ICASSP 2021 DNS Challenge for noise robustness.
Citation
If you find SPIRAL useful in your research, please cite the following paper:
@inproceedings{huang2022spiral,
title={{SPIRAL}: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training},
author={Wenyong Huang and Zhenhe Zhang and Yu Ting Yeung and Xin Jiang and Qun Liu},
booktitle={International Conference on Learning Representations},
year={2022},
url={https://openreview.net/forum?id=TBpg4PnXhYH}
}
- Created
- Jun 17, 2022
- Updated
- Jun 23, 2022