mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
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LLM和TTS采用适配器模式进行解耦,方便扩展更多服务平台调用
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import asyncio
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import logging
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import os
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import json
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import uuid
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import base64
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# from datetime import datetime
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# import edge_tts
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import numpy as np
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import opuslib
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# import requests
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# from core.utils.util import read_config, get_project_dir
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from pydub import AudioSegment
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from abc import ABC, abstractmethod
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logger = logging.getLogger(__name__)
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class TTSProviderBase(ABC):
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def __init__(self, config, delete_audio_file):
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self.delete_audio_file = delete_audio_file
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self.output_file = config.get("output_file")
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@abstractmethod
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def generate_filename(self):
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pass
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def to_tts(self, text):
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tmp_file = self.generate_filename()
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try:
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max_repeat_time = 5
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while not os.path.exists(tmp_file) and max_repeat_time > 0:
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asyncio.run(self.text_to_speak(text, tmp_file))
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if not os.path.exists(tmp_file):
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max_repeat_time = max_repeat_time - 1
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logger.error(f"语音生成失败: {text}:{tmp_file},再试{max_repeat_time}次")
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if max_repeat_time>0:
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logger.info(f"语音生成成功: {text}:{tmp_file},重试{5-max_repeat_time}次")
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return tmp_file
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except Exception as e:
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logger.info(f"Failed to generate TTS file: {e}")
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return None
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@abstractmethod
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async def text_to_speak(self, text, output_file):
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pass
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def wav_to_opus_data(self, wav_file_path):
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# 使用pydub加载PCM文件
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# 获取文件后缀名
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file_type = os.path.splitext(wav_file_path)[1]
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if file_type:
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file_type = file_type.lstrip('.')
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audio = AudioSegment.from_file(wav_file_path, format=file_type)
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duration = len(audio) / 1000.0
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# 转换为单声道和16kHz采样率(确保与编码器匹配)
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audio = audio.set_channels(1).set_frame_rate(16000)
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# 获取原始PCM数据(16位小端)
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raw_data = audio.raw_data
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# 初始化Opus编码器
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encoder = opuslib.Encoder(16000, 1, opuslib.APPLICATION_AUDIO)
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# 编码参数
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frame_duration = 60 # 60ms per frame
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frame_size = int(16000 * frame_duration / 1000) # 960 samples/frame
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opus_datas = []
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# 按帧处理所有音频数据(包括最后一帧可能补零)
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for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
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# 获取当前帧的二进制数据
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chunk = raw_data[i:i + frame_size * 2]
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# 如果最后一帧不足,补零
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if len(chunk) < frame_size * 2:
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chunk += b'\x00' * (frame_size * 2 - len(chunk))
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# 转换为numpy数组处理
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np_frame = np.frombuffer(chunk, dtype=np.int16)
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# 编码Opus数据
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opus_data = encoder.encode(np_frame.tobytes(), frame_size)
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opus_datas.append(opus_data)
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return opus_datas, duration
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