metadata
library_name: transformers
language: ja
license: apache-2.0
datasets: reazon-research/reazonspeech
pipeline_tag: feature-extraction
tags:
- wav2vec2
- speech
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}
}