Wavetable script for M8 (not authour)

wavetable.py

import librosa
import soundfile as sf
import os


# Define the folder path containing the .wav files
folder_path = "/path/to/folder"


# Iterate over all .wav files in the folder and subfolders
for root, dirs, files in os.walk(folder_path):
    for file_name in files:
        if file_name.endswith(".wav"):
            # Load the audio file
            audio_path = os.path.join(root, file_name)
            audio, sr = librosa.load(audio_path, sr=None)
           
            # Change the length of the audio file to N samples by padding the end with silence (N = 256 * the number of samples per wave). e.g. if 2048-samples per wave, then N = 524288
            target_length = 524288 # SET THIS ACCORDING TO THE FORMULA!
            if len(audio) < target_length:
                # If the audio file is shorter than 524288 samples, pad it with silence
                audio = librosa.util.fix_length(audio, size=target_length)
           
            # Save the modified audio file using soundfile
            sf.write(audio_path, audio, sr)