'commit'

dsLightRag/Test/TTS/T2_StreamingVolanoTTS.py

@@ -0,0 +1,156 @@
+import asyncio
+import json
+import uuid
+import websockets
+import os
+from queue import Queue
+from Config import Config
+from Util.TTS_Protocols import full_client_request, receive_message, MsgType, EventType
+
+
+class StreamingVolcanoTTS:
+    def __init__(self, voice_type='zh_female_wanwanxiaohe_moon_bigtts', encoding='wav', max_concurrency=2):
+        self.voice_type = voice_type
+        self.encoding = encoding
+        self.app_key = Config.HS_APP_ID
+        self.access_token = Config.HS_ACCESS_TOKEN
+        self.endpoint = "wss://openspeech.bytedance.com/api/v3/tts/unidirectional/stream"
+        self.audio_queue = Queue()
+        self.max_concurrency = max_concurrency  # 最大并发数
+        self.semaphore = asyncio.Semaphore(max_concurrency)  # 并发控制信号量
+        
+    @staticmethod
+    def get_resource_id(voice: str) -> str:
+        if voice.startswith("S_"):
+            return "volc.megatts.default"
+        return "volc.service_type.10029"
+        
+    async def synthesize_stream(self, text_stream, audio_callback):
+        """
+        流式合成语音
+        
+        Args:
+            text_stream: 文本流生成器
+            audio_callback: 音频数据回调函数，接收音频片段
+        """
+        # 为每个文本片段创建一个WebSocket连接，但限制并发数
+        tasks = []
+        for text in text_stream:
+            if text.strip():  # 忽略空文本
+                task = asyncio.create_task(self._synthesize_single_with_semaphore(text, audio_callback))
+                tasks.append(task)
+                
+        # 等待所有任务完成
+        await asyncio.gather(*tasks)
+        
+    async def _synthesize_single_with_semaphore(self, text, audio_callback):
+        """使用信号量控制并发数的单个文本合成"""
+        async with self.semaphore:  # 获取信号量，限制并发数
+            await self._synthesize_single(text, audio_callback)
+            
+    async def _synthesize_single(self, text, audio_callback):
+        """合成单个文本片段"""
+        headers = {
+            "X-Api-App-Key": self.app_key,
+            "X-Api-Access-Key": self.access_token,
+            "X-Api-Resource-Id": self.get_resource_id(self.voice_type),
+            "X-Api-Connect-Id": str(uuid.uuid4()),
+        }
+
+        websocket = await websockets.connect(
+            self.endpoint, additional_headers=headers, max_size=10 * 1024 * 1024
+        )
+
+        try:
+            request = {
+                "user": {
+                    "uid": str(uuid.uuid4()),
+                },
+                "req_params": {
+                    "speaker": self.voice_type,
+                    "audio_params": {
+                        "format": self.encoding,
+                        "sample_rate": 24000,
+                        "enable_timestamp": True,
+                    },
+                    "text": text,
+                    "additions": json.dumps({"disable_markdown_filter": False}),
+                },
+            }
+
+            # 发送请求
+            await full_client_request(websocket, json.dumps(request).encode())
+
+            # 接收音频数据
+            audio_data = bytearray()
+            while True:
+                msg = await receive_message(websocket)
+
+                if msg.type == MsgType.FullServerResponse:
+                    if msg.event == EventType.SessionFinished:
+                        break
+                elif msg.type == MsgType.AudioOnlyServer:
+                    audio_data.extend(msg.payload)
+                else:
+                    raise RuntimeError(f"TTS conversion failed: {msg}")
+
+            # 通过回调函数返回音频数据
+            if audio_data:
+                audio_callback(audio_data)
+
+        finally:
+            await websocket.close()
+
+
+def audio_callback(audio_data):
+    """
+    音频数据回调函数，将音频数据保存到文件
+    """
+    # 创建输出目录
+    output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "output")
+    os.makedirs(output_dir, exist_ok=True)
+    
+    # 生成文件名
+    filename = f"streaming_tts_{uuid.uuid4().hex[:8]}.wav"
+    filepath = os.path.join(output_dir, filename)
+    
+    # 保存音频文件
+    with open(filepath, "wb") as f:
+        f.write(audio_data)
+    
+    print(f"音频片段已保存到: {filepath}")
+
+
+async def test_streaming_tts():
+    """
+    测试流式TTS功能
+    """
+    # 创建TTS实例
+    tts = StreamingVolcanoTTS()
+    
+    # 准备测试文本流
+    test_texts = [
+        "你好，我是火山引擎的语音合成服务。",
+        "这是一个流式语音合成的测试。",
+        "我们将文本分成多个片段进行合成。",
+        "这样可以减少等待时间，提高用户体验。"
+    ]
+    
+    print("开始测试流式TTS...")
+    print(f"测试文本: {test_texts}")
+    
+    # 调用流式合成
+    await tts.synthesize_stream(test_texts, audio_callback)
+    
+    print("流式TTS测试完成！")
+
+
+def main():
+    """
+    主函数，运行测试
+    """
+    asyncio.run(test_streaming_tts())
+
+
+if __name__ == "__main__":
+    main()