mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-22 07:03:53 +08:00
hrz
@@ -710,6 +710,22 @@ TTS:
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# voice_id: female-shaonv
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# weight: 1
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# language_boost: auto
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MinimaxTTSHTTPStream:
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# Minimax流式语音合成服务
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type: minimax_httpstream
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output_dir: tmp/
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group_id: 你的minimax平台groupID
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api_key: 你的minimax平台接口密钥
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model: "speech-01-turbo"
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voice_id: "female-shaonv"
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MinimaxTTSWebSocketStream:
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type: minimax_webSocket
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output_dir: tmp/
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group_id: 你的minimax平台groupID
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api_key: 你的minimax平台接口密钥
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model: "speech-01-turbo"
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voice_id: "female-shaonv"
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AliyunTTS:
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# 阿里云智能语音交互服务，需要先在阿里云平台开通服务，然后获取验证信息
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# 平台地址：https://nls-portal.console.aliyun.com/
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@@ -0,0 +1,230 @@
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import os
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import uuid
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import json
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import requests
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from datetime import datetime
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from typing import Iterator, Optional, Union
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from core.providers.tts.base import TTSProviderBase
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from core.utils.util import parse_string_to_list
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class TTSProvider(TTSProviderBase):
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def __init__(self, config, delete_audio_file):
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super().__init__(config, delete_audio_file)
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self.group_id = config.get("group_id")
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self.api_key = config.get("api_key")
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self.model = config.get("model")
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if config.get("private_voice"):
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self.voice = config.get("private_voice")
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else:
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self.voice = config.get("voice_id")
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default_voice_setting = {
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"voice_id": "female-shaonv",
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"speed": 1,
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"vol": 1,
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"pitch": 0,
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"emotion": "happy",
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}
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default_pronunciation_dict = {"tone": ["处理/(chu3)(li3)", "危险/dangerous"]}
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defult_audio_setting = {
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"sample_rate": 32000,
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"bitrate": 128000,
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"format": "mp3",
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"channel": 1,
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}
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self.voice_setting = {
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**default_voice_setting,
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**config.get("voice_setting", {}),
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}
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self.pronunciation_dict = {
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**default_pronunciation_dict,
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**config.get("pronunciation_dict", {}),
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}
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self.audio_setting = {**defult_audio_setting, **config.get("audio_setting", {})}
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self.timber_weights = parse_string_to_list(config.get("timber_weights"))
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if self.voice:
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self.voice_setting["voice_id"] = self.voice
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self.host = "api.minimax.chat"
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self.api_url = f"https://{self.host}/v1/t2a_v2?GroupId={self.group_id}"
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self.header = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {self.api_key}",
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}
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self.audio_file_type = defult_audio_setting.get("format", "mp3")
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def generate_filename(self, extension=".mp3"):
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return os.path.join(
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self.output_file,
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f"tts-{__name__}{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
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)
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async def text_to_speak(self, text, output_file):
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"""非流式语音合成（保留原有实现）"""
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request_json = {
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"model": self.model,
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"text": text,
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"stream": False,
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"voice_setting": self.voice_setting,
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"pronunciation_dict": self.pronunciation_dict,
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"audio_setting": self.audio_setting,
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}
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if type(self.timber_weights) is list and len(self.timber_weights) > 0:
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request_json["timber_weights"] = self.timber_weights
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request_json["voice_setting"]["voice_id"] = ""
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try:
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resp = requests.post(
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self.api_url, json.dumps(request_json), headers=self.header
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)
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if resp.json()["base_resp"]["status_code"] == 0:
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data = resp.json()["data"]["audio"]
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audio_bytes = bytes.fromhex(data)
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if output_file:
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with open(output_file, "wb") as file_to_save:
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file_to_save.write(audio_bytes)
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else:
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return audio_bytes
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else:
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raise Exception(
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f"{__name__} status_code: {resp.status_code} response: {resp.content}"
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)
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except Exception as e:
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raise Exception(f"{__name__} error: {e}")
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def text_to_speak_stream(
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self,
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text: str,
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chunk_callback: Optional[callable] = None
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) -> Iterator[bytes]:
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"""
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流式语音合成方法
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:param text: 要合成的文本
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:param chunk_callback: 可选的回调函数，用于处理每个音频块
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:return: 生成器，每次产生一个音频数据块(bytes)
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"""
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request_json = {
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"model": self.model,
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"text": text,
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"stream": True,
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"voice_setting": self.voice_setting,
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"pronunciation_dict": self.pronunciation_dict,
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"audio_setting": self.audio_setting,
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}
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if isinstance(self.timber_weights, list) and len(self.timber_weights) > 0:
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request_json["timber_weights"] = self.timber_weights
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request_json["voice_setting"]["voice_id"] = ""
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try:
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with requests.post(
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self.api_url,
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data=json.dumps(request_json),
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headers=self.header,
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stream=True
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) as response:
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# 检查HTTP状态码
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if response.status_code != 200:
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raise Exception(
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f"HTTP error: {response.status_code}, response: {response.text}"
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)
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# 处理流式响应
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for line in response.iter_lines():
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if line: # 过滤空行
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# 检查是否为数据行 (SSE格式)
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if line.startswith(b'data:'):
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try:
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data = json.loads(line[5:].strip()) # 去掉"data:"前缀
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# 检查API状态码
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if data.get("base_resp", {}).get("status_code", -1) != 0:
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raise Exception(
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f"API error: {data.get('base_resp', {}).get('status_msg')}"
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)
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# 跳过非音频数据块
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if "extra_info" in data:
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continue
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# 提取音频数据
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audio_hex = data.get("data", {}).get("audio")
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if audio_hex:
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audio_chunk = bytes.fromhex(audio_hex)
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if chunk_callback:
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chunk_callback(audio_chunk)
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yield audio_chunk
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except json.JSONDecodeError:
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# 忽略JSON解析错误（可能是心跳包等）
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continue
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except Exception as e:
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raise e
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except Exception as e:
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raise Exception(f"{__name__} stream error: {e}")
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def save_stream_to_file(
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self,
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text: str,
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output_file: Optional[str] = None,
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progress_callback: Optional[callable] = None
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) -> str:
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"""
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流式合成并保存到文件
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:param text: 要合成的文本
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:param output_file: 输出文件路径，如果为None则自动生成
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:param progress_callback: 可选的回调函数，接收已写入的字节数
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:return: 保存的文件路径
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"""
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if not output_file:
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output_file = self.generate_filename(extension=f".{self.audio_file_type}")
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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total_bytes = 0
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try:
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with open(output_file, "wb") as audio_file:
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for audio_chunk in self.text_to_speak_stream(text):
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audio_file.write(audio_chunk)
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audio_file.flush()
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total_bytes += len(audio_chunk)
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if progress_callback:
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progress_callback(total_bytes)
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return output_file
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except Exception as e:
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# 清理可能创建的不完整文件
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if os.path.exists(output_file):
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os.remove(output_file)
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raise e
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def stream_to_audio_player(self, text: str, player_command: list = None):
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"""
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流式合成并直接播放音频
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:param text: 要合成的文本
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:param player_command: 音频播放器命令，默认使用mpv
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"""
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if player_command is None:
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player_command = ["mpv", "--no-cache", "--no-terminal", "--", "fd://0"]
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try:
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import subprocess
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player_process = subprocess.Popen(
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player_command,
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stdin=subprocess.PIPE,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL,
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)
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for audio_chunk in self.text_to_speak_stream(text):
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player_process.stdin.write(audio_chunk)
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player_process.stdin.flush()
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player_process.stdin.close()
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player_process.wait()
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except Exception as e:
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raise Exception(f"Audio player error: {e}")
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@@ -0,0 +1,180 @@
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import os
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import uuid
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import json
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import asyncio
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import websockets
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import ssl
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from datetime import datetime
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from core.providers.tts.base import TTSProviderBase
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from core.utils.util import parse_string_to_list
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class TTSProvider(TTSProviderBase):
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def __init__(self, config, delete_audio_file):
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super().__init__(config, delete_audio_file)
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self.group_id = config.get("group_id")
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self.api_key = config.get("api_key")
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self.model = config.get("model")
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# 初始化语音设置
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default_voice_setting = {
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"voice_id": "female-shaonv",
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"speed": 1,
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"vol": 1,
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"pitch": 0,
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"emotion": "happy",
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}
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default_pronunciation_dict = {"tone": ["处理/(chu3)(li3)", "危险/dangerous"]}
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default_audio_setting = {
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"sample_rate": 32000,
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"bitrate": 128000,
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"format": "mp3",
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"channel": 1,
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}
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# 合并配置
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self.voice_setting = {
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**default_voice_setting,
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**config.get("voice_setting", {}),
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}
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self.pronunciation_dict = {
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**default_pronunciation_dict,
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**config.get("pronunciation_dict", {}),
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}
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self.audio_setting = {
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**default_audio_setting,
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**config.get("audio_setting", {})
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}
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self.timber_weights = parse_string_to_list(config.get("timber_weights"))
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# 设置语音ID
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if config.get("private_voice"):
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self.voice_setting["voice_id"] = config.get("private_voice")
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elif config.get("voice_id"):
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self.voice_setting["voice_id"] = config.get("voice_id")
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# WebSocket配置
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self.ws_url = "wss://api.minimaxi.com/ws/v1/t2a_v2"
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self.headers = {
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"Authorization": f"Bearer {self.api_key}",
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"GroupId": self.group_id
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}
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self.audio_file_type = self.audio_setting.get("format", "mp3")
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def generate_filename(self, extension=".mp3"):
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"""生成唯一的音频文件名"""
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return os.path.join(
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self.output_file,
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f"tts-{__name__}{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
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)
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async def _establish_connection(self):
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"""建立WebSocket连接"""
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ssl_context = ssl.create_default_context()
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ssl_context.check_hostname = False
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ssl_context.verify_mode = ssl.CERT_NONE
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try:
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ws = await websockets.connect(
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self.ws_url,
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additional_headers=self.headers,
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ssl=ssl_context
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)
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connected = json.loads(await ws.recv())
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if connected.get("event") == "connected_success":
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print("连接成功")
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return ws
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return None
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except Exception as e:
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print(f"连接失败: {e}")
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return None
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async def _start_task(self, websocket):
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"""发送任务开始请求"""
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start_msg = {
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"event": "task_start",
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"model": self.model,
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"voice_setting": self.voice_setting,
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"pronunciation_dict": self.pronunciation_dict,
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"audio_setting": self.audio_setting
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}
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if self.timber_weights and len(self.timber_weights) > 0:
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start_msg["timber_weights"] = self.timber_weights
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start_msg["voice_setting"]["voice_id"] = ""
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await websocket.send(json.dumps(start_msg))
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response = json.loads(await websocket.recv())
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return response.get("event") == "task_started"
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async def _continue_task(self, websocket, text):
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"""发送继续请求并收集音频数据"""
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await websocket.send(json.dumps({
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"event": "task_continue",
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"text": text
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}))
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audio_chunks = []
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while True:
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response = json.loads(await websocket.recv())
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if "data" in response and "audio" in response["data"]:
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audio_chunks.append(response["data"]["audio"])
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if response.get("is_final"):
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break
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return "".join(audio_chunks)
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async def _close_connection(self, websocket):
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"""关闭连接"""
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if websocket:
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await websocket.send(json.dumps({"event": "task_finish"}))
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await websocket.close()
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print("连接已关闭")
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async def text_to_speak(self, text, output_file=None):
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"""主方法：文本转语音"""
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ws = await self._establish_connection()
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if not ws:
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raise Exception("无法建立WebSocket连接")
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try:
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if not await self._start_task(ws):
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raise Exception("任务启动失败")
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hex_audio = await self._continue_task(ws, text)
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audio_bytes = bytes.fromhex(hex_audio)
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# 保存到文件或返回二进制数据
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if output_file:
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with open(output_file, "wb") as f:
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f.write(audio_bytes)
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print(f"音频已保存为{output_file}")
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return output_file
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else:
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# 返回音频二进制数据（不播放）
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return audio_bytes
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finally:
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await self._close_connection(ws)
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||||
|
||||
|
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async def main():
|
||||
"""测试用主函数"""
|
||||
# 示例配置
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||||
config = {
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"group_id": "YOUR_GROUP_ID", # 替换为实际的group_id
|
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"api_key": "YOUR_API_KEY", # 替换为实际的api_key
|
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"model": "your-model", # 替换为实际的模型名称
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"voice_id": "male-qn-qingse",
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"voice_setting": {
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"speed": 1.2,
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"emotion": "happy"
|
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}
|
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}
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|
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tts = TTSProvider(config, delete_audio_file=True)
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output_file = tts.generate_filename()
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await tts.text_to_speak("这是一个测试文本，用于验证流式语音合成功能", output_file)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
Reference in New Issue
Block a user