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--- |
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library_name: transformers |
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language: ja |
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license: apache-2.0 |
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datasets: reazon-research/reazonspeech |
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pipeline_tag: feature-extraction |
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tags: |
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- wav2vec2 |
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- speech |
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--- |
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# `reazon-research/japanese-wav2vec2-large` |
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This is a Japanese wav2vec 2.0 Large model pre-trained on [ReazonSpeech v2.0 corpus](https://huggingface.co/datasets/reazon-research/reazonspeech). |
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We also release the CTC model [`reazon-research/japanese-wav2vec2-large-rs35kh`](https://huggingface.co/reazon-research/japanese-wav2vec2-large-rs35kh) derived from this model. |
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## Usage |
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```python |
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import librosa |
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import torch |
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from transformers import AutoFeatureExtractor, AutoModel |
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feature_extractor = AutoFeatureExtractor.from_pretrained("reazon-research/japanese-wav2vec2-large") |
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model = AutoModel.from_pretrained("reazon-research/japanese-wav2vec2-large") |
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audio, sr = librosa.load(audio_file, sr=16_000) |
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inputs = feature_extractor( |
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audio, |
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return_tensors="pt", |
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sampling_rate=sr, |
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) |
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with torch.inference_mode(): |
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outputs = model(**inputs) |
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``` |
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## Citation |
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```bibtex |
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@misc{reazon-research-japanese-wav2vec2-large, |
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title={japanese-wav2vec2-large}, |
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author={Sasaki, Yuta}, |
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url = {https://huggingface.co/reazon-research/japanese-wav2vec2-large}, |
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year = {2024} |
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} |
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``` |
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## License |
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[Apaceh Licence 2.0](https://choosealicense.com/licenses/apache-2.0/) |
