init

experiment_speaker_verification.py

@@ -10,18 +10,8 @@ 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")
+def get_embedding(model_class, model_name: str, dataset_name: str, data_split: str):
+    dataset = load_dataset(dataset_name, split=data_split)
     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):
@@ -44,14 +34,38 @@ def get_embedding(model_class, model_name: str, dataset_name: str):
         f.write("\n".join([json.dumps(i) for i in embeddings]))
 
 
+def anlyze_embedding(model_class, model_name: str, dataset_name: str):
+    file_path = p_join("experiment_cache", "embeddings", f"{model_name}.{os.path.basename(dataset_name)}.json")
+    assert os.path.exists(file_path)
+    with open(file_path) as f:
+        embeddings = [json.loads(i) for i in f.readlines()]
+    model = model_class()
+    embeddings = []
+    for i in tqdm(dataset, total=len(dataset)):
+        start = time()
+        v = model.get_speaker_embedding(i["audio"]["array"], i["audio"]["sampling_rate"])
+        tmp = {
+            "model": model_name,
+            "embedding": v.tolist(),
+            "sampling_rate": i["audio"]["sampling_rate"],
+            "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]))
+
+
 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(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")
+    get_embedding(MetaVoiceSE, "meta_voice_se", "asahi417/voxceleb1-test-split", "test")
+    get_embedding(PyannoteSE, "pyannote_se", "asahi417/voxceleb1-test-split", "test")
+    get_embedding(W2VBertSE, "w2v_bert_se", "asahi417/voxceleb1-test-split", "test")
+    get_embedding(MetaVoiceSE, "meta_voice_se", "ylacombe/expresso", "train")
+    get_embedding(PyannoteSE, "pyannote_se", "ylacombe/expresso", "train")
+    get_embedding(W2VBertSE, "w2v_bert_se", "ylacombe/expresso", "train")
+