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| import os | |
| import librosa | |
| import numpy as np | |
| from zeno import ZenoOptions, distill, DistillReturn | |
| def amplitude(df, ops: ZenoOptions): | |
| files = [os.path.join(ops.data_path, f) for f in df[ops.data_column]] | |
| amps = [] | |
| for audio in files: | |
| y, _ = librosa.load(audio) | |
| amps.append(float(np.abs(y).mean())) | |
| return DistillReturn(distill_output=amps) | |
| def length(df, ops: ZenoOptions): | |
| files = [os.path.join(ops.data_path, f) for f in df[ops.data_column]] | |
| amps = [] | |
| for audio in files: | |
| y, _ = librosa.load(audio) | |
| amps.append(len(y)) | |
| return DistillReturn(distill_output=amps) | |