Please note:
The model hosted in this repository is a pretrained wav2vec2 without a CTC head, as such it cannot do speech-to-text. If you are interested in speech-to-text, see our finetuned version of this model, which can be found at
KBLab/wav2vec2-large-voxrex-swedish
. The weights found in this repository are from the pure acoustic model after unsupervised pretraining. This model is suitable for anyone interested in i) continued wav2vec2-pretraining with your own unsupervised data, ii) a feature extractor for finetuning your own downstream tasks (e.g. if you want to train your own CTC head, or an audio classifier).
Disclaimer:
This is a work in progress.
Update 2022-01-08:
Updated to VoxRex-C version, use git to get the older (B) version.
Update 2022-05-16:
Paper is is
here
.
This model has been pretrained for 400,000 updates on the P4-10k corpus which contains 10 000 hours of swedish local public service radio as well as 1500 hours of audio books and other speech from KBs collections.
Runs of KBLab wav2vec2-large-voxrex on huggingface.co
15
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
-55
30-day runs
More Information About wav2vec2-large-voxrex huggingface.co Model
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wav2vec2-large-voxrex is an open source model from GitHub that offers a free installation service, and any user can find wav2vec2-large-voxrex on GitHub to install. At the same time, huggingface.co provides the effect of wav2vec2-large-voxrex install, users can directly use wav2vec2-large-voxrex installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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