| license: apache-2.0 | |
| language: | |
| - cy | |
| tags: | |
| - speech | |
| # Pre-training wav2vec2 models for Welsh speech recognition | |
| At the moment, the best Welsh speech recognition models are achieved from fine-tuning https://huggingface.co/facebook/wav2vec2-large-xlsr-53 and https://huggingface.co/facebook/wav2vec2-xls-r-1b models by Facebook/Meta AI. | |
| This model is experimental in investigating pretraining better models with more Welsh language speech that could lower WER scores even further in subsequently fine-tuned models. The work draws heavily on resources and documentation from the HuggingFace examples: | |
| https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-pretraining | |
| This base model has been pre-trained with only approximately 4000 hours of Welsh and English speech collected from various channels on YouTube. The corpus contains only 25% Welsh language speech. English language speech contains Welsh-accented English speech and therefore has been retained for pre-training. | |
| Until we have collected many more hours of speech, this pre-trained model will be of limited use for fine-tuning any useful downstream tasks. | |