**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  

Thanks to [patrickvonplaten Patrick von Platen](https://huggingface.co/patrickvonplaten)

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  
```python
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 |
{"language": ["en"], "license": "apache-2.0", "datasets": ["pongjin/en_corpora_parliament_processed"], "metrics": ["wer"], "pipeline_tag": "automatic-speech-recognition"}
transformers pytorch wav2vec2 automatic-speech-recognition en dataset:pongjin/en_corpora_parliament_processed license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #en #dataset-pongjin/en_corpora_parliament_processed #license-apache-2.0 #endpoints_compatible #region-us 

This model has been referred to the following links


1. URL
2. URL


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 URL


학습 데이터 출처 : URL



> 
> transformers==4.24.0  
> 
> huggingface\_hub==0.13.2
> 
> 
> 




TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #en #dataset-pongjin/en_corpora_parliament_processed #license-apache-2.0 #endpoints_compatible #region-us 
