# 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 |