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litevits
LauBen/litevits
litevits is a machine learning model from LauBen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains the data used in the paper:
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Updated Sep 16, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Sep 14, 2026
- Updated
- Sep 16, 2026
- SHA
- b57657a7
Model card
From the Hugging Face model README
LiteVITS Data
This repository contains the data used in the paper:
“A Simple and Affordable Adversarial Attack By Speech Generation Finetuning”
- authors : Elie Laurent Benaroya, Damien Lolive, Arnaud Delhay, Hoan My Tran
- accepted at 2026 IEEE Spoken Language Technology Workshop (SLT 2026)
The data support the experiments presented in the paper and are intended for research on speech generation and adversarial attacks against anti-spoofing countermeasure models.
The corresponding code and training framework are available at:
https://gitlab.inria.fr/expression/litevits.git
Please refer to the paper (when published) and the code repository for details about the data preparation, experimental setup, and usage.
- License
- mit
- Created
- Sep 14, 2026
- Updated
- Sep 16, 2026