SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
This is the pretrained model of
SPIRAL Base
, trained with 960-hour LibriSpeech data
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}
}
Runs of huawei-noah SPIRAL-base on huggingface.co
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More Information About SPIRAL-base huggingface.co Model
SPIRAL-base huggingface.co
SPIRAL-base huggingface.co is an AI model on huggingface.co that provides SPIRAL-base's model effect (), which can be used instantly with this huawei-noah SPIRAL-base model. huggingface.co supports a free trial of the SPIRAL-base model, and also provides paid use of the SPIRAL-base. Support call SPIRAL-base model through api, including Node.js, Python, http.
SPIRAL-base huggingface.co is an online trial and call api platform, which integrates SPIRAL-base's modeling effects, including api services, and provides a free online trial of SPIRAL-base, you can try SPIRAL-base online for free by clicking the link below.
huawei-noah SPIRAL-base online free url in huggingface.co:
SPIRAL-base is an open source model from GitHub that offers a free installation service, and any user can find SPIRAL-base on GitHub to install. At the same time, huggingface.co provides the effect of SPIRAL-base install, users can directly use SPIRAL-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.