init

experiment_voxceleb1.py

@@ -2,7 +2,7 @@ import json
 import os
 from os.path import join as p_join
 from tqdm import tqdm
-
+from time import time
 from datasets import load_dataset
 
 from model_meta_voice import MetaVoiceSE
@@ -22,13 +22,15 @@ def get_embedding(model_class, model_name: str):
     model = model_class()
     embeddings = []
     for i in tqdm(voxceleb1_dataset, total=len(voxceleb1_dataset)):
+        start = time()
         v = model.get_speaker_embedding(i["audio"]["array"], i["audio"]["sampling_rate"])
         embeddings.append({
             "model": model_name,
             "embedding": v.tolist(),
             "sampling_rate": i["audio"]["sampling_rate"],
             "id": i["id"],
-            "speaker_id": i["speaker_id"]
+            "speaker_id": i["speaker_id"],
+            "process_time": time() - start
         })
     with open(file_path, "w") as f:
         f.write("\n".join([json.dumps(i) for i in embeddings]))