Upload sampling.py

Used to convert .wav files to numpy arrays using librosa

sampling.py

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+import librosa
+import numpy as np
+import os
+import glob
+
+audio_folder = 'images/audio'
+file_paths = glob.glob(os.path.join(audio_folder, '*.wav'))
+results = []
+
+for file_path in file_paths:
+    y, sr = librosa.load(file_path)
+    S = librosa.feature.melspectrogram(y=y, sr=44100, n_mels=256)
+    log_S = librosa.power_to_db(S, ref=np.max)
+    vector = log_S.mean(axis=0)
+
+    results.append([os.path.basename(file_path), vector])
+
+# Convert the 'results' list to a dictionary
+results_dict = {item[0]: item[1] for item in results}
+
+# np.save('vec.npy', results_dict)
+
+# print("Results saved to 'vec.npy'")
+
+import json
+
+with open('vectors.jsonl', 'w') as fout:
+    for filename, vec in results_dict.items():
+        entry = {'filename': filename, 'audio_vector': vec.tolist()}
+        line = json.dumps(entry) + '\n'
+        fout.write(line)
+    
+print("Vectors saved to 'vectors.jls'")