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reazon-research/japanese-wav2vec2-base

This is a Japanese wav2vec 2.0 Base model pre-trained on ReazonSpeech v2.0 corpus.

We also release the CTC model reazon-research/japanese-wav2vec2-base-rs35kh derived from this model.

Usage

import librosa
import torch
from transformers import AutoFeatureExtractor, AutoModel

feature_extractor = AutoFeatureExtractor.from_pretrained("reazon-research/japanese-wav2vec2-base")
model = AutoModel.from_pretrained("reazon-research/japanese-wav2vec2-base")

audio, sr = librosa.load(audio_file, sr=16_000)
inputs = feature_extractor(
    audio,
    return_tensors="pt",
    sampling_rate=sr,
)
with torch.inference_mode():
    outputs = model(**inputs)

Citation

@misc{reazon-research-japanese-wav2vec2-base,
  title={japanese-wav2vec2-base},
  author={Sasaki, Yuta},
  url = {https://huggingface.co./reazon-research/japanese-wav2vec2-base},
  year = {2024}
}

License

Apaceh Licence 2.0

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Dataset used to train reazon-research/japanese-wav2vec2-base