diff --git a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/requirements.txt b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/requirements.txt
index d19365af..2f953e58 100644
--- a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/requirements.txt
+++ b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/requirements.txt
@@ -28,3 +28,4 @@ PySocks==1.7.1
 dashscope==1.23.1
 aiomysql==0.2.0
 asyncio==3.4.3
+resemblyzer==0.1.4
diff --git a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/huanghai_test.wav b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/huanghai_test.wav
new file mode 100644
index 00000000..803ee004
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diff --git a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/hh/HH.wav b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/hh/HH.wav
new file mode 100644
index 00000000..cdb241bb
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diff --git a/XiaoZhi/文档/【黄海】今天的天气怎么样.wav b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/hh/【黄海】今天的天气怎么样.wav
similarity index 100%
rename from XiaoZhi/文档/【黄海】今天的天气怎么样.wav
rename to XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/hh/【黄海】今天的天气怎么样.wav
diff --git a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/wb/WB.wav b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/known_speakers/wb/WB.wav
new file mode 100644
index 00000000..cdc4f6c5
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diff --git a/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/testResemblyzer.py b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/testResemblyzer.py
new file mode 100644
index 00000000..40ed31c3
--- /dev/null
+++ b/XiaoZhi/xiaozhi-esp32-server/main/xiaozhi-server/test/testResemblyzer.py
@@ -0,0 +1,100 @@
+from resemblyzer import preprocess_wav, VoiceEncoder
+from pathlib import Path
+import numpy as np
+import soundfile as sf
+import io
+
+# 初始化声纹编码器
+encoder = VoiceEncoder()
+
+# 存储已知声纹和对应的说话人名称
+known_speakers = {}
+
+
+def load_known_speakers(speaker_folder):
+    """
+    加载已知说话人的声纹
+    :param speaker_folder: 存储说话人音频文件的文件夹路径
+    """
+    speaker_folder = Path(speaker_folder)
+    for speaker_dir in speaker_folder.iterdir():
+        if speaker_dir.is_dir():
+            speaker_name = speaker_dir.name
+            wav_files = list(speaker_dir.glob("*.wav"))
+            embeddings = []
+            for wav_file in wav_files:
+                wav = preprocess_wav(wav_file)
+                embedding = encoder.embed_utterance(wav)
+                embeddings.append(embedding)
+            if embeddings:
+                known_speakers[speaker_name] = np.mean(embeddings, axis=0)
+                print(f"已加载说话人: {speaker_name}")
+
+
+def recognize_speaker_from_file(audio_file_path, threshold=0.7):
+    """
+    从音频文件识别说话人
+    :param audio_file_path: 音频文件路径
+    :param threshold: 相似度阈值，低于此值认为是未知说话人
+    :return: (说话人名称, 相似度)
+    """
+    try:
+        # 预处理音频文件
+        wav = preprocess_wav(audio_file_path)
+        # 获取声纹特征
+        embedding = encoder.embed_utterance(wav)
+
+        best_similarity = -1
+        best_speaker = None
+
+        # 与已知说话人进行比对
+        for speaker, known_embedding in known_speakers.items():
+            similarity = np.dot(embedding, known_embedding)
+            if similarity > best_similarity:
+                best_similarity = similarity
+                best_speaker = speaker
+
+        # 如果相似度低于阈值，认为是未知说话人
+        if best_similarity < threshold:
+            return "未知说话人", best_similarity
+
+        return best_speaker, best_similarity
+
+    except Exception as e:
+        print(f"识别说话人时出错: {str(e)}")
+        return None, 0
+
+
+def recognize_speaker(audio):
+    """
+    识别说话人
+    :param audio: 音频数据
+    :return: 说话人名称
+    """
+    wav = preprocess_wav(audio.get_wav_data())
+    embedding = encoder.embed_utterance(wav)
+    best_similarity = -1
+    best_speaker = None
+    for speaker, known_embedding in known_speakers.items():
+        similarity = np.dot(embedding, known_embedding)
+        if similarity > best_similarity:
+            best_similarity = similarity
+            best_speaker = speaker
+    return best_speaker
+
+
+if __name__ == "__main__":
+    # 加载已知说话人的声纹
+    speaker_folder = "known_speakers"  # 已知说话人音频文件夹
+    load_known_speakers(speaker_folder)
+
+    # 要识别的音频文件路径
+    test_audio_path = "huanghai_test.wav"  # 替换为你要识别的音频文件路径
+    # 识别说话人
+    speaker, similarity = recognize_speaker_from_file(test_audio_path)
+
+    if speaker:
+        print(f"识别结果: {speaker}")
+        print(f"相似度: {similarity:.4f}")
+    else:
+        print("无法识别说话人")
\ No newline at end of file