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""" |
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rm -rf ~/.cache/huggingface/datasets/dlxjj___common_voice_17_0 && |
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rm -rf ~/.cache/huggingface/modules/datasets_modules/datasets/dlxjj--common_voice_17_0 && |
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rm -rf ~/.cache/huggingface/modules/datasets_modules/datasets/dlxjj--common_voice_17_0.lock && |
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rm -rf ~/.cache/huggingface/datasets/downloads && |
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rm -rf ~/.cache/huggingface/hub/datasets--dlxjj--common_voice_17_0 |
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""" |
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dataset_name = "dlxjj/common_voice_17_0" |
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language = "Japanese" |
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language_abbr = "ja" |
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from datasets import load_dataset, DatasetDict |
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common_voice = DatasetDict() |
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common_voice["train"] = load_dataset(dataset_name, language_abbr, split="train", trust_remote_code=True) |
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print(common_voice["train"][0]) |
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array = common_voice["train"][0]["audio"]["array"] |
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import torch, numpy as np, torchaudio |
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tensor = torch.tensor(np.array( array, dtype='float32')) |
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sampling_rate = 48000 |
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torchaudio.save("t.wav", tensor.unsqueeze(0), sampling_rate, bits_per_sample=16) |
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pass |