wav2vec2-base-vi-vlsp2020
Our models use wav2vec2 architecture, pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours labeled of VLSP ASR dataset on 16kHz sampled speech audio. You can find more description here
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Specifications
- Architecture
- Wav2Vec2ForCTC
- Vocabulary
- 98
- Layers / heads
- 12 / 12
- Licence
- cc-by-nc-4.0
- First seen on the Hub
- 2022-11-04
- Training datasets
- vlsp-asr-2020
- Added to our catalog
- 2026-07-28
Compare with any automatic-speech-recognition model