Thai Wav2Vec2 with CommonVoice V8 (newmm tokenizer) + language model

This model trained with CommonVoice V8 dataset by increase data from CommonVoice V7 dataset that It was use in airesearch/wav2vec2-large-xlsr-53-th . It was finetune wav2vec2-large-xlsr-53 .

Model description

• Technical report: Thai Wav2Vec2.0 with CommonVoice V8

Datasets

It is increase new data from The Common Voice V8 dataset to Common Voice V7 dataset or remove all data in Common Voice V7 dataset before split Common Voice V8 then add CommonVoice V7 dataset back to dataset.

It use ekapolc/Thai_commonvoice_split script for split Common Voice dataset.

Models

This model was finetune wav2vec2-large-xlsr-53 model with Thai Common Voice V8 dataset and It use pre-tokenize with pythainlp.tokenize.word_tokenize .

Training

I used many code from vistec-AI/wav2vec2-large-xlsr-53-th and I fixed bug training code in vistec-AI/wav2vec2-large-xlsr-53-th#2

Evaluation

Test with CommonVoice V8 Testset

Test with CommonVoice V7 Testset (same test by CV V7)

This is use same testset from https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th .

Links:

• GitHub Dataset: https://github.com/wannaphong/thai_commonvoice_dataset
• Technical report: Thai Wav2Vec2.0 with CommonVoice V8

BibTeX entry and citation info

@misc{phatthiyaphaibun2022thai,
      title={Thai Wav2Vec2.0 with CommonVoice V8}, 
      author={Wannaphong Phatthiyaphaibun and Chompakorn Chaksangchaichot and Peerat Limkonchotiwat and Ekapol Chuangsuwanich and Sarana Nutanong},
      year={2022},
      eprint={2208.04799},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}