A Gronings Wav2Vec2 model. This model is created by further pre-training the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Gronings speech.

This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation.
More information on [GitHub](https://github.com/Bartelds/asr-augmentation).
{"language": ["gos"]}
transformers pytorch wav2vec2 feature-extraction gos endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #feature-extraction #gos #endpoints_compatible #region-us 

A Gronings Wav2Vec2 model. This model is created by further pre-training the multilingual XLS-R model on Gronings speech.

This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation.
More information on GitHub.
TAGS
#transformers #pytorch #wav2vec2 #feature-extraction #gos #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #wav2vec2 #feature-extraction #gos #endpoints_compatible #region-us 
