LIA-AvignonUniversity/IWSLT2022-tamasheq-only

Model and data descriptions

This is a wav2vec 2.0 base model pre-trained on 243 hours of Tamasheq speech from the corpus presented in Boito et al., 2022. This is not an ASR fine-tuned model. There is no vocabulary file.

Intended uses & limitations

Pretrained wav2vec2 models are distributed under the Apache-2.0 license. Hence, they can be reused extensively without strict limitations.

Referencing our IWSLT models

@article{boito2022trac,
  title={ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks},
  author={Boito, Marcely Zanon and Ortega, John and Riguidel, Hugo and Laurent, Antoine and Barrault, Lo{\"\i}c and Bougares, Fethi and Chaabani, Firas and Nguyen, Ha and Barbier, Florentin and Gahbiche, Souhir and others},
  journal={IWSLT},
  year={2022}
}