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wav2vec2-noisy
nguyenvulebinh/wav2vec2-noisy
wav2vec2-noisy is a machine learning model from nguyenvulebinh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
The base model pretrained on 16kHz sampled speech-augmented audio. The audio comes from 960h Libris dataset that is augmented as follows:
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 5, 2022
- Updated
- Nov 5, 2022
- SHA
- 4edd9965
Datasets
Model card
From the Hugging Face model README
Wav2Vec2-Base with audio augmentation
The base model pretrained on 16kHz sampled speech-augmented audio. The audio comes from 960h Libris dataset that is augmented as follows:
The ambient noise dataset includes MUSAN and WHAM (a total of 189 hours, including music, speech, and environmental noise). The reverb dataset is from Room RIR and BUT Speech@FIT (2650 room impulse response signals).
Model Parameters License
The model parameters are made available for non-commercial use only under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: https://creativecommons.org/licenses/by-nc/4.0/legalcode
Contact
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Nov 5, 2022
- Updated
- Nov 5, 2022