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# pip install numpy==1.26.4 torchaudio==0.13.1 transformers==4.45.2 datasets==3.0.1 librosa==0.10.2.post1 jiwer==3.0.4 bitsandbytes==0.38.0.post1 accelerate==0.26.0
dataset_name = "dlxjj/common_voice_17_0"
language = "Japanese"
language_abbr = "ja"
from datasets import load_dataset, DatasetDict
common_voice = DatasetDict()
common_voice["train"] = load_dataset(dataset_name, language_abbr, split="train", trust_remote_code=True)
print(common_voice["train"][0])
array = common_voice["train"][0]["audio"]["array"]
import torch, numpy as np, torchaudio
tensor = torch.tensor(np.array( array, dtype='float32'))
sampling_rate = 48000
torchaudio.save("t.wav", tensor.unsqueeze(0), sampling_rate, bits_per_sample=16)
pass |