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---
library_name: transformers
datasets:
- reazon-research/reazonspeech
- joujiboi/japanese-anime-speech
language:
- ja
- en
metrics:
- cer
pipeline_tag: automatic-speech-recognition
---
# Model Card for Model ID
![image](./cover_image.jpeg)
<!-- Generated using cagliostrolab/animagine-xl-3.0 -->
<!--Prompt: 1girl, black long hair, suit, headphone, write down, upper body, indoor, night, masterpiece, best quality -->
Fine tunned ASR model from [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2).
This model aimed to transcribe japanese audio especially visual novel.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** spow12(yw_nam)
- **Shared by :** spow12(yw_nam)
- **Model type:** Seq2Seq
- **Language(s) (NLP):** japanese
- **Finetuned from model :** [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2).
## Uses
```python
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
import librosa
processor = AutoProcessor.from_pretrained('spow12/Visual-novel-transcriptor', language="ja", task="transcribe")
model = AutoModelForSpeechSeq2Seq.from_pretrained('spow12/Visual-novel-transcriptor').cuda()
model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language="ja", task="transcribe")
data, _ = librosa.load(wav_path, sr=16000)
input_features = processor(data, sampling_rate=16000, return_tensors="pt").input_features.cuda()
predicted_ids = model.generate(input_features)
transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
print(transcription[0])
```
## Bias, Risks, and Limitations
This model trained by japanese dataset included visual novel which contain nsfw content.
## Use & Credit
This model is currently available for non-commercial use only. Also, since I'm not detailed in licensing, I hope you use it responsibly.
By sharing this model, I hope to contribute to the research efforts of our community (the open-source community and anime persons).
## Citation
```bibtex
@misc {Visual-novel-transcriptor,
author = { {YoungWoo Nam} },
title = { Visual-novel-transcriptor },
year = 2024,
url = { https://huggingface.co/spow12/Visual-novel-transcriptor },
publisher = { Hugging Face }
}
```