init

experiment_speaker_verification.py

@@ -10,9 +10,19 @@ from model_pyannote_embedding import PyannoteSE
 from model_w2v_bert import W2VBertSE
 
 
+# def to_json_serializable(val):
+#     if type(val) is list:
+#         return val
+#     if "float" in str(type(val)):
+#         return float(val)
+#     if "int" in str(type(val)):
+#         return int(val)
+#     return str(val)
+
+
 def get_embedding(model_class, model_name: str, dataset_name: str):
     dataset = load_dataset(dataset_name, split="test")
-    file_path = p_join("experiment_cache", "embeddings", f"{model_name}.{dataset_name}.json")
+    file_path = p_join("experiment_cache", "embeddings", f"{model_name}.{os.path.basename(dataset_name)}.json")
     os.makedirs(os.path.dirname(file_path), exist_ok=True)
     if os.path.exists(file_path):
         return
@@ -21,15 +31,15 @@ def get_embedding(model_class, model_name: str, dataset_name: str):
     for i in tqdm(dataset, total=len(dataset)):
         start = time()
         v = model.get_speaker_embedding(i["audio"]["array"], i["audio"]["sampling_rate"])
-        embeddings.append({
+        tmp = {
             "model": model_name,
             "embedding": v.tolist(),
             "sampling_rate": i["audio"]["sampling_rate"],
-            "id": i["id"],
-            "speaker_id": i["speaker_id"],
             "process_time": time() - start,
             "dataset_name": os.path.basename(dataset_name)
-        })
+        }
+        tmp.update({k: v for k, v in i.items() if k != "audio"})
+        embeddings.append(tmp)
     with open(file_path, "w") as f:
         f.write("\n".join([json.dumps(i) for i in embeddings]))
 
@@ -37,7 +47,11 @@ def get_embedding(model_class, model_name: str, dataset_name: str):
 if __name__ == '__main__':
     # cache embedding
     get_embedding(MetaVoiceSE, "meta_voice_se", "asahi417/voxceleb1-test-split")
-    get_embedding(PyannoteSE, "pyannote_se", "asahi417/voxceleb1-test-split")
+    # get_embedding(PyannoteSE, "pyannote_se", "asahi417/voxceleb1-test-split")
     get_embedding(W2VBertSE, "w2v_bert_se", "asahi417/voxceleb1-test-split")
+    get_embedding(MetaVoiceSE, "meta_voice_se", "ylacombe/expresso")
+    get_embedding(PyannoteSE, "pyannote_se", "ylacombe/expresso")
+    get_embedding(W2VBertSE, "w2v_bert_se", "ylacombe/expresso")
+