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| import json |
| import torchaudio |
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| def read_lists(list_file): |
| lists = [] |
| with open(list_file, 'r', encoding='utf8') as fin: |
| for line in fin: |
| lists.append(line.strip()) |
| return lists |
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| def read_json_lists(list_file): |
| lists = read_lists(list_file) |
| results = {} |
| for fn in lists: |
| with open(fn, 'r', encoding='utf8') as fin: |
| results.update(json.load(fin)) |
| return results |
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| def load_wav(wav, target_sr): |
| speech, sample_rate = torchaudio.load(wav) |
| speech = speech.mean(dim=0, keepdim=True) |
| if sample_rate != target_sr: |
| assert sample_rate > target_sr, 'wav sample rate {} must be greater than {}'.format(sample_rate, target_sr) |
| speech = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=target_sr)(speech) |
| return speech |
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