metadata
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
Fine tunned ASR model from distil-whisper/distil-large-v2.
This model aimed to transcribe japanese audio especially visual novel.
Model Details
Model Description
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.
Uses
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
@misc {Visual-novel-transcriptor,
author = { {YoungWoo Nam} },
title = { Visual-novel-transcriptor },
year = 2024,
url = { https://huggingface.co/spow12/Visual-novel-transcriptor },
publisher = { Hugging Face }
}