Downloads · 30 days
20
44% of all-time downloads
en_with_korean_w2v_model_960h
pongjin/en_with_korean_w2v_model_960h
en_with_korean_w2v_model_960h is a automatic speech recognition model from pongjin. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model has been referred to the following links 1) https://huggingface.co/blog/wav2vec2-with-ngram 2) https://huggingface.co/blog/fine-tune-wav2vec2-english
All-time downloads
45
Public
Repo size
2.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 7, 2023
- Updated
- Jun 24, 2023
- SHA
- 7e43bf4e
Model card
From the Hugging Face model README
This model has been referred to the following links
- https://huggingface.co/blog/wav2vec2-with-ngram
- https://huggingface.co/blog/fine-tune-wav2vec2-english
Thanks to patrickvonplaten Patrick von Platen
해당 모델은 한국인의 영어 발화 인식 성능 개선을 위해 facebook/wav2vec2-base-960h 로 파인튜닝한 모델에 KenLM 5-gram 을 붙인 ASR + LM 모델입니다.
If you want to use LM, you must have kenlm installed https://github.com/kpu/kenlm
pip install https://github.com/kpu/kenlm/archive/master.zip
학습 데이터 출처 : https://aiopen.etri.re.kr/voiceModel
transformers==4.24.0
huggingface_hub==0.13.2
| wer | epoch | batch | lr | weight_decay | warmup_steps |
|---|---|---|---|---|---|
| 0.32 | 10 | 16 | 1e-4 | 0.005 | 1000 |
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- en
- Created
- Jun 7, 2023
- Updated
- Jun 24, 2023