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japanese-wav2vec2-base
reazon-research/japanese-wav2vec2-base
japanese-wav2vec2-base is a feature extraction model from reazon-research. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This is a Japanese wav2vec 2.0 Base model pre-trained on ReazonSpeech v2.0 corpus.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Aug 27, 2024
- SHA
- 021e23f8
Datasets
Model card
From the Hugging Face model README
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
- Task
- Feature Extraction
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- ja
- Created
- Jun 21, 2024
- Updated
- Aug 27, 2024