Hugging Face's logo

hynt
/
EfficientConformerVietnamese

PyTorch
Vietnamese
CTC
speech-to-text
vietnamese
ai-model
deep-learning
Model card Files
xet
Community
hynt commited on
Commit
f933fb6
·
verified ·
1 Parent(s): 20d24e0

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -68,7 +68,7 @@ tensorboard --logdir callback_path
68
  | Model | Gigaspeech_test<br>(Greedy / n-gram Beam Search) | VLSP2023_pb_test<br>(Greedy / n-gram Beam Search) | VLSP2023_pr_test<br>(Greedy / n-gram Beam Search) |
69
  |:--------------------------------------|:------------------------------------------------:|:-------------------------------------------------:|:-------------------------------------------------:|
70
  | **EC-Small-CTC** | **19.61 / 17.47** | **23.06 / 20.83** | **23.17 / 21.15** |
71
- | **PhoWhiper-Tiny** | **---** | **33.21** | **33.02** |
72
 
73
 
74
  In the competition organized by VLSP, I used the Efficient Conformer Large architecture with approximately 127 million parameters. You can find the detailed results in the technical report below:
 
68
  | Model | Gigaspeech_test<br>(Greedy / n-gram Beam Search) | VLSP2023_pb_test<br>(Greedy / n-gram Beam Search) | VLSP2023_pr_test<br>(Greedy / n-gram Beam Search) |
69
  |:--------------------------------------|:------------------------------------------------:|:-------------------------------------------------:|:-------------------------------------------------:|
70
  | **EC-Small-CTC** | **19.61 / 17.47** | **23.06 / 20.83** | **23.17 / 21.15** |
71
+ | **PhoWhiper-Tiny** | **20.45** | **33.21** | **33.02** |
72
 
73
 
74
  In the competition organized by VLSP, I used the Efficient Conformer Large architecture with approximately 127 million parameters. You can find the detailed results in the technical report below: