From 235bdba42aed97bd523bfb9c3984804f7bcb0e87 Mon Sep 17 00:00:00 2001 From: rainv123 <2148537152@qq.com> Date: Fri, 8 Aug 2025 10:59:07 +0800 Subject: [PATCH] paddlespeech-deploy.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit PaddleSpeechTTS服务集成xiaozhi服务 --- paddlespeech-deploy.md | 169 ++--------------------------------------- 1 file changed, 8 insertions(+), 161 deletions(-) diff --git a/paddlespeech-deploy.md b/paddlespeech-deploy.md index 149c58f0..6584efff 100644 --- a/paddlespeech-deploy.md +++ b/paddlespeech-deploy.md @@ -3,14 +3,12 @@ ## 一、基础环境要求 操作系统：Windows / Linux / WSL 2 -Python 版本：3.8 ~ 3.10 +Python 版本：3.9以上（请根据Paddle官方教程调整） -Paddle 官方最新版本 +Paddle 版本：官方最新版本 ```https://www.paddlepaddle.org.cn/install``` 依赖管理工具：conda 或 venv -前提条件：需要先根据paddle官方教程安装好PaddlePaddle ```https://www.paddlepaddle.org.cn/install``` - ## 二、启动paddlespeech服务 ### 1.从paddlespeech官方仓库拉取源码 ```bash @@ -18,7 +16,8 @@ git clone https://github.com/PaddlePaddle/PaddleSpeech.git ``` ### 2.建立虚拟环境 ```bash -conda create -n paddle_env python=3.8 -y +#请根据Paddle官方支持的python版本建立环境 ```https://www.paddlepaddle.org.cn/install``` +conda create -n paddle_env python=3.10 -y conda activate paddle_env ``` ### 3.进入paddlespeech目录 @@ -46,9 +45,10 @@ paddlespeech tts --input "你好，这是一次测试" ### 7.启动服务 ```yaml paddlespeech_server start --config_file ./demos/streaming_tts_server/conf/tts_online_application.yaml +#官方默认启动命令： +paddlespeech_server start --config_file ./conf/tts_online_application.yaml ``` -请根据你的```tts_online_application.yaml```的实际目录来启动命令 -看到如下日志即启动成功 +请根据你的```tts_online_application.yaml```的实际目录来启动命令，看到如下日志即启动成功 ``` Prefix dict has been built successfully. [2025-08-07 10:03:11,312] [ DEBUG] __init__.py:166 - Prefix dict has been built successfully. @@ -60,160 +60,7 @@ INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) ## 三、修改小智的配置文件 ### 1.```main/xiaozhi-server/core/providers/tts/paddle_speech.py``` -```py -import asyncio -import json -import base64 -import aiohttp -import numpy as np -import io -import wave -import websockets -from core.providers.tts.base import TTSProviderBase -from config.logger import setup_logging -TAG = __name__ -logger = setup_logging() - - -class TTSProvider(TTSProviderBase): - def __init__(self, config, delete_audio_file): - super().__init__(config, delete_audio_file) - self.url = config.get("url", "ws://192.168.1.10:8092/paddlespeech/tts/streaming") - self.protocol = config.get("protocol", "websocket") - self.spk_id = config.get("spk_id", 0) - self.sample_rate = config.get("sample_rate", 24000) - self.speed = config.get("speed", 1.0) - self.volume = config.get("volume", 1.0) - self.save_path = config.get("save_path", "./streaming_tts.wav") - - async def pcm_to_wav(self, pcm_data: bytes, sample_rate: int = 24000, num_channels: int = 1, - bits_per_sample: int = 16) -> bytes: - """ - 将 PCM 数据转换为 WAV 文件并返回字节数据 - :param pcm_data: PCM 数据（原始字节流） - :param sample_rate: 音频采样率，默认为24000 - :param num_channels: 声道数，默认为单声道 - :param bits_per_sample: 每个样本的位数，默认为16 - :return: WAV 格式的字节数据 - """ - byte_data = np.frombuffer(pcm_data, dtype=np.int16) # 16位PCM - wav_io = io.BytesIO() - - with wave.open(wav_io, "wb") as wav_file: - wav_file.setnchannels(num_channels) - wav_file.setsampwidth(bits_per_sample // 8) - wav_file.setframerate(sample_rate) - wav_file.writeframes(byte_data.tobytes()) - - return wav_io.getvalue() - - async def text_to_speak(self, text, output_file): - if self.protocol == "websocket": - return await self.text_streaming(text, output_file) - elif self.protocol == "http": - return await self.text(text, output_file) - else: - raise ValueError("Unsupported protocol. Please use 'websocket' or 'http'.") - - async def text(self, text, output_file): - request_json = { - "text": text, - "spk_id": self.spk_id, - "speed": self.speed, - "volume": self.volume, - "sample_rate": self.sample_rate, - "save_path": self.save_path - } - - try: - async with aiohttp.ClientSession() as session: - async with session.post(self.url, json=request_json) as resp: - if resp.status == 200: - resp_json = await resp.json() - if resp_json.get("success"): - data = resp_json["result"] - audio_bytes = base64.b64decode(data["audio"]) - if output_file: - with open(output_file, "wb") as file_to_save: - file_to_save.write(audio_bytes) - else: - return audio_bytes - else: - raise Exception( - f"Error: {resp_json.get('message', 'Unknown error')} while processing text: {text}") - else: - raise Exception( - f"HTTP Error: {resp.status} - {await resp.text()} while processing text: {text}") - except Exception as e: - raise Exception(f"Error during TTS HTTP request: {e} while processing text: {text}") - - async def text_streaming(self, text, output_file): - try: - # 使用 websockets 异步连接到 WebSocket 服务器 - async with websockets.connect(self.url) as ws: - # 发送开始请求 - start_request = { - "task": "tts", - "signal": "start" - } - await ws.send(json.dumps(start_request)) - - # 接收开始响应并提取 session_id - start_response = await ws.recv() - start_response = json.loads(start_response) # 解析 JSON 响应 - if start_response.get("status") != 0: - raise Exception(f"连接失败: {start_response.get('signal')}") - - session_id = start_response.get("session") - - # 发送待合成的文本数据 - data_request = { - "text": text, - "spk_id": self.spk_id, - } - await ws.send(json.dumps(data_request)) - - audio_chunks = b"" - timeout_seconds = 60 # 设置超时 - try: - while True: - response = await asyncio.wait_for(ws.recv(), timeout=timeout_seconds) - response = json.loads(response) # 解析 JSON 响应 - status = response.get("status") - - if status == 2: # 最后一个数据包 - break - else: - # 拼接音频数据（base64 编码的 PCM 数据） - audio_chunks += base64.b64decode(response.get("audio")) - except asyncio.TimeoutError: - raise Exception(f"WebSocket 超时：等待音频数据超过 {timeout_seconds} 秒") - - # 将拼接后的 PCM 数据转换为 WAV 格式 - wav_data = await self.pcm_to_wav(audio_chunks) - - # 结束请求 - end_request = { - "task": "tts", - "signal": "end", - "session": session_id # 会话 ID 必须与开始请求中的一致 - } - await ws.send(json.dumps(end_request)) - - # 接收结束响应避免服务抛出异常 - await ws.recv() - - # 返回或保存音频数据 - if output_file: - with open(output_file, "wb") as file_to_save: - file_to_save.write(wav_data) - else: - return wav_data - - except Exception as e: - raise Exception(f"Error during TTS WebSocket request: {e} while processing text: {text}") -``` ### 2.```main/xiaozhi-server/data/.config.yaml``` 使用单模块部署 ```yaml @@ -237,7 +84,7 @@ python app.py 打开test目录下的test_page.html，测试连接和发送消息时paddlespeech端是否有输出日志 输出日志参考： -```b +``` INFO: 127.0.0.1:44312 - "WebSocket /paddlespeech/tts/streaming" [accepted] INFO: connection open [2025-08-07 11:16:33,355] [ INFO] - sentence: 哈哈，怎么突然找我聊天啦？