485 lines
19 KiB
Python
485 lines
19 KiB
Python
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import sys
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import pvporcupine
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import pyaudio
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import struct
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import os
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import socket
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import time
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import threading
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import configparser
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import wave
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import datetime
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import logging
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# 设置日志记录
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log_file = os.path.join(os.getcwd(), "voicelog.txt")
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logging.basicConfig(
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filename=log_file,
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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# 创建一个控制台处理器，用于同时在控制台显示日志
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console = logging.StreamHandler()
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console.setLevel(logging.INFO)
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formatter = logging.Formatter('%(message)s')
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console.setFormatter(formatter)
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logging.getLogger('').addHandler(console)
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# 定义日志函数，替代print
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def log_info(message):
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logging.info(message)
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base_dir = os.path.dirname(os.path.abspath(__file__)) if getattr(sys, 'frozen', False) else os.path.dirname(
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os.path.abspath(sys.executable))
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config_file_path = os.path.join(base_dir, 'config.ini')
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config = configparser.ConfigParser()
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try:
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config.read('config.ini', encoding='utf-8')
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host = config.get('Server', 'address')
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port = config.getint('Server', 'port')
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key = config.get('Server', 'key')
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cport = config.getint('Server', 'client-port')
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detection_threshold = config.getfloat('Audio', 'detection_threshold', fallback=1)
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voice_threshold = config.getfloat('Audio', 'voice_threshold', fallback=150)
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except (configparser.NoSectionError, configparser.NoOptionError, FileNotFoundError) as e:
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log_info(f"配置错误: {e}")
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sys.exit(1)
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class UDPClientTool:
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def __init__(self, server_host=host, server_port=port, client_port=cport, talker=None,waker = None):
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self.SERVER_HOST = server_host
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self.SERVER_PORT = server_port
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self.CLIENT_PORT = client_port
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self.client_socket = None
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self.talker = talker
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self.waker = waker
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self.HEARTBEAT_INTERVAL = 5
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self.running = True
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self.connected = False # 表示当前连接状态
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self.receive_thread = None
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self.heartbeat_thread = None
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self.communication_thread = threading.Thread(target=self.start_communication, daemon=True)
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self.current_state = "等待唤醒" # 添加状态标记
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self.communication_thread.start()
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self.first_start = True # 添加标记，用于判断是否是第一次启动
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self.last_state = "初始化" # 添加状态记录，用于断线重连后恢复状态
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self.last_command = None # 添加最后处理的指令记录
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self.last_command_time = 0 # 添加最后处理指令的时间戳
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self.is_recording = False # 添加录音状态标记
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self.last_command = None
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self.last_command_time = 0
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def connect(self):
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try:
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self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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self.client_socket.settimeout(5)
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if self.CLIENT_PORT != 0:
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self.client_socket.bind(('0.0.0.0', self.CLIENT_PORT))
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test_message = "唤醒连接"
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self.client_socket.sendto(test_message.encode('utf-8'), (self.SERVER_HOST, self.SERVER_PORT))
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data, addr = self.client_socket.recvfrom(4096)
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log_info(f"连接成功: {data.decode('utf-8')}")
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self.connected = True
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# 根据上次状态恢复
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if self.waker:
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if self.first_start:
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self.waker.open_PyAudio()
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self.first_start = False
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self.last_state = "唤醒监听"
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elif self.last_state == "唤醒监听":
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# 如果上次是在监听唤醒词，则继续监听
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log_info("恢复唤醒词监听状态...")
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self.waker.open_PyAudio()
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elif self.last_state == "录音中":
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# 如果上次是在录音，提示用户并重新开始录音
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log_info("录音中断，请重新说话...")
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time.sleep(0.5) # 延迟0.5秒
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self.waker.record_user_speech(delay=0) # 不再额外延迟
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return True
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except Exception as e:
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log_info(f"连接失败: {e}")
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return False
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def start_communication(self):
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while self.running:
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if self.connect():
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self.connected = True
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self.receive_thread = threading.Thread(target=self.receive_messages, daemon=True)
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self.receive_thread.start()
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self.heartbeat_thread = threading.Thread(target=self.send_heartbeat, daemon=True)
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self.heartbeat_thread.start()
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self.receive_thread.join()
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self.heartbeat_thread.join()
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if self.client_socket:
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self.client_socket.close()
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self.client_socket = None
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log_info("连接断开，重新尝试连接...")
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else:
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log_info("3秒后重连...")
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time.sleep(3)
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def receive_messages(self):
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while self.running:
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try:
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data, addr = self.client_socket.recvfrom(4096)
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decoded = data.decode('utf-8')
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current_time = time.time()
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if decoded != "HEARTBEAT":
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log_info(f"收到指令: {decoded}")
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if (decoded == self.last_command and
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current_time - self.last_command_time < 1.0):
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continue
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self.last_command = decoded
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self.last_command_time = current_time
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if self.waker:
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if decoded == "开始唤醒":
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self.current_state = "等待唤醒"
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self.last_state = "唤醒监听"
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if self.waker.isOpen:
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self.waker.close_PyAudio()
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time.sleep(0.1)
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self.waker.open_PyAudio()
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elif decoded == "开始对话":
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if not self.is_recording: # 立即设置录音锁
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self.is_recording = True
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self.current_state = "录音中"
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self.last_state = "录音中"
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try:
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record_thread = threading.Thread(
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target=self.waker.record_user_speech,
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args=(1,),
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daemon=True
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)
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record_thread.start()
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record_thread.join(timeout=0.1)
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except Exception as e:
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log_info(f"启动录音线程时出错: {e}")
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self.current_state = "等待唤醒"
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self.is_recording = False
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elif self.is_recording and decoded != "HEARTBEAT":
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log_info("正在录音中，忽略指令：" + decoded)
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continue
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except socket.timeout:
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continue
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except Exception as e:
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log_info(f"接收错误: {e}")
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if self.running: # 只有在程序仍在运行时才尝试重连
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self.connected = False
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break
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def send_heartbeat(self):
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"""发送心跳包以保持连接"""
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while self.connected and self.running:
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try:
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self.client_socket.sendto(b'HEARTBEAT', (self.SERVER_HOST, self.SERVER_PORT))
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time.sleep(self.HEARTBEAT_INTERVAL)
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except Exception as e:
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log_info(f"心跳发送失败: {e}")
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self.connected = False
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break
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def send_message(self, message):
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if self.connected and self.client_socket:
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try:
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self.client_socket.sendto(message.encode('utf-8'), (self.SERVER_HOST, self.SERVER_PORT))
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self.last_sent_message = message
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# 如果发送结束对话消息，更新状态为等待唤醒
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if message == "结束对话":
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self.current_state = "等待唤醒"
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except Exception as e:
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log_info(f"发送失败: {e}")
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def shutdown(self):
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self.running = False
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self.connected = False
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if self.client_socket:
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self.client_socket.close()
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def resource_path(relative_path):
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"""获取资源文件的绝对路径"""
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if getattr(sys, 'frozen', False):
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# 如果是打包后的程序
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base_path = os.path.dirname(sys.executable)
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else:
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# 如果是开发环境
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base_path = os.path.dirname(os.path.abspath(__file__))
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return os.path.join(base_path, relative_path)
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class WakeWordDetector:
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def __init__(self):
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# 配置唤醒词相关参数
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keyword_paths = [resource_path('hello.ppn')]
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model_file = resource_path('porcupine_params_zh.pv')
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wake_words = ["你好"]
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sensitivities = [1.0] # 提高灵敏度到最大
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access_key = key
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# 创建 Porcupine 实例
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self.porcupine = pvporcupine.create(
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access_key=access_key,
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keyword_paths=keyword_paths,
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model_path=model_file,
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keywords=wake_words,
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sensitivities=sensitivities
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)
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# 创建 UDP 客户端工具实例
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self.client_tool = UDPClientTool(waker=self)
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self.scodethread=None
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# 音频流参数
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self.sample_rate = 16000
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self.frame_length = 512
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self.isOpen = False
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# 添加噪音检测相关参数
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self.detection_threshold = detection_threshold # 环境噪音阈值
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self.voice_threshold = voice_threshold # 语音检测阈值
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self.silence_frames = 0 # 连续静音帧计数
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self.min_silence_frames = 10 # 最小静音帧数，用于判断环境噪音
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self.background_energy = 0 # 背景噪音能量值
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self.energy_adjustment_factor = 1.5 # 能量调整因子
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# 修改录音文件保存路径
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#将录音文件保存到当前工作目录，不再使用专门的 recordings 文件夹。
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self.recording_dir = os.getcwd()
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self.max_silence_duration = 1.4 # 最大静音持续时间（秒），用于自动停止录音
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self.max_recording_duration = 30 # 最大录音时间（秒）
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self.silence_threshold_multiplier = 1.2 # 静音判断阈值倍数
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def open_PyAudio(self):
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try:
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if self.isOpen:
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self.close_PyAudio()
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self.p = pyaudio.PyAudio()
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self.stream = self.p.open(format=pyaudio.paInt16,
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channels=1,
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rate=self.sample_rate,
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input=True,
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frames_per_buffer=self.frame_length)
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self.isOpen = True
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log_info("开启麦克风...")
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self.scodethread = threading.Thread(target=self.start_detection, daemon=True)
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self.scodethread.start()
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# 移除 join，让线程在后台运行
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# self.scodethread.join()
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except Exception as e:
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log_info(f"打开麦克风失败: {e}")
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self.isOpen = False
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time.sleep(2)
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log_info("尝试重新打开麦克风...")
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self.open_PyAudio()
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def calibrate_background_noise(self):
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"""校准背景噪音水平"""
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log_info("校准环境噪音水平，请保持安静...")
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energy_values = []
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# 收集2秒的环境噪音样本
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for _ in range(int(self.sample_rate / self.frame_length * 2)):
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if not self.isOpen:
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break
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try:
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pcm = self.stream.read(self.frame_length)
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pcm_data = struct.unpack_from("h" * self.frame_length, pcm)
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energy = sum(abs(x) for x in pcm_data) / len(pcm_data)
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energy_values.append(energy)
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except:
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break
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if energy_values:
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# 计算平均能量值并应用调整因子
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self.background_energy = sum(energy_values) / len(energy_values)
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self.detection_threshold = self.background_energy * self.energy_adjustment_factor
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log_info(f"环境噪音水平: {self.background_energy}, 检测阈值: {self.detection_threshold}")
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def close_PyAudio(self):
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try:
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if hasattr(self, 'stream') and self.stream:
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if self.stream.is_active():
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self.stream.stop_stream()
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self.stream.close()
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if hasattr(self, 'p') and self.p:
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self.p.terminate()
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self.isOpen = False
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log_info("关闭麦克风...")
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except Exception as e:
|
|||
|
|
log_info(f"关闭麦克风时出错: {e}")
|
|||
|
|
self.isOpen = False
|
|||
|
|
|
|||
|
|
def start_detection(self):
|
|||
|
|
log_info("正在等待唤醒词...")
|
|||
|
|
retry_count = 0
|
|||
|
|
max_retries = 3
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
while True:
|
|||
|
|
if not self.isOpen:
|
|||
|
|
log_info("\nself.isOpen=false")
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
pcm = self.stream.read(self.frame_length)
|
|||
|
|
pcm_data = struct.unpack_from("h" * self.frame_length, pcm)
|
|||
|
|
|
|||
|
|
# 计算当前能量值
|
|||
|
|
energy = sum(abs(x) for x in pcm_data) / len(pcm_data)
|
|||
|
|
|
|||
|
|
# 进行唤醒词检测
|
|||
|
|
# log_info("\n在听了别问了。")
|
|||
|
|
result = self.porcupine.process(pcm_data)
|
|||
|
|
if result >= 0:
|
|||
|
|
log_info("\n检测到唤醒词!")
|
|||
|
|
message = "打开助手"
|
|||
|
|
self.client_tool.send_message(message)
|
|||
|
|
return # 只返回，不关闭音频流
|
|||
|
|
|
|||
|
|
retry_count = 0
|
|||
|
|
|
|||
|
|
except OSError as e:
|
|||
|
|
retry_count += 1
|
|||
|
|
log_info(f"\n音频设备错误: {e}, 尝试重新连接 ({retry_count}/{max_retries})...")
|
|||
|
|
|
|||
|
|
if retry_count >= max_retries:
|
|||
|
|
log_info("重试次数过多，退出检测")
|
|||
|
|
self.close_PyAudio()
|
|||
|
|
time.sleep(2)
|
|||
|
|
self.open_PyAudio()
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
time.sleep(1)
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
except KeyboardInterrupt:
|
|||
|
|
log_info("\n程序已停止。")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def record_user_speech(self, delay=1):
|
|||
|
|
try:
|
|||
|
|
if delay > 0:
|
|||
|
|
log_info(f"将在 {delay} 秒后开始录音...")
|
|||
|
|
time.sleep(delay)
|
|||
|
|
log_info("开始录制，请说话...")
|
|||
|
|
|
|||
|
|
frames = []
|
|||
|
|
start_time = time.time()
|
|||
|
|
is_speaking = False
|
|||
|
|
consecutive_silence_frames = 0
|
|||
|
|
|
|||
|
|
while True:
|
|||
|
|
data = self.stream.read(self.frame_length)
|
|||
|
|
frames.append(data)
|
|||
|
|
|
|||
|
|
# 计算当前帧的能量
|
|||
|
|
pcm_data = struct.unpack_from("h" * self.frame_length, data)
|
|||
|
|
energy = sum(abs(x) for x in pcm_data) / len(pcm_data)
|
|||
|
|
|
|||
|
|
if hasattr(self, 'record_frame_counter'):
|
|||
|
|
self.record_frame_counter += 1
|
|||
|
|
else:
|
|||
|
|
self.record_frame_counter = 0
|
|||
|
|
|
|||
|
|
if self.record_frame_counter % 10 == 0:
|
|||
|
|
log_info(f"当前能量: {energy:.2f}, 阈值: {self.voice_threshold:.2f}")
|
|||
|
|
|
|||
|
|
# 使用实例变量 self.voice_threshold
|
|||
|
|
if energy > self.voice_threshold:
|
|||
|
|
is_speaking = True
|
|||
|
|
consecutive_silence_frames = 0
|
|||
|
|
else:
|
|||
|
|
if is_speaking:
|
|||
|
|
consecutive_silence_frames += 1
|
|||
|
|
silence_duration = consecutive_silence_frames * (self.frame_length / self.sample_rate)
|
|||
|
|
|
|||
|
|
if silence_duration >= self.max_silence_duration:
|
|||
|
|
log_info(f"检测到{self.max_silence_duration}秒静音，录音结束")
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
# 检查是否超过最大录音时间
|
|||
|
|
if time.time() - start_time >= self.max_recording_duration:
|
|||
|
|
log_info(f"达到最大录音时间{self.max_recording_duration}秒，录音结束")
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
log_info(f"录音过程中出错: {e}")
|
|||
|
|
is_speaking = False
|
|||
|
|
frames = []
|
|||
|
|
finally:
|
|||
|
|
try:
|
|||
|
|
# 先保存录音（如果有）
|
|||
|
|
if is_speaking and frames:
|
|||
|
|
self.save_recording(frames)
|
|||
|
|
else:
|
|||
|
|
log_info("未检测到有效语音，不保存录音")
|
|||
|
|
|
|||
|
|
# 重置录音状态
|
|||
|
|
self.client_tool.is_recording = False # 直接使用 self.client_tool
|
|||
|
|
|
|||
|
|
# 发送结束对话消息
|
|||
|
|
message = "结束对话"
|
|||
|
|
self.client_tool.send_message(message)
|
|||
|
|
|
|||
|
|
# 等待服务器响应
|
|||
|
|
time.sleep(1)
|
|||
|
|
|
|||
|
|
# 确保旧的音频流已完全关闭
|
|||
|
|
if 'stream' in locals() and self.stream:
|
|||
|
|
self.stream.stop_stream()
|
|||
|
|
self.stream.close()
|
|||
|
|
if 'p' in locals() and self.p:
|
|||
|
|
self.p.terminate()
|
|||
|
|
|
|||
|
|
# 重置状态
|
|||
|
|
# self.isOpen = False
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
log_info(f"清理录音资源时出错: {e}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def save_recording(self, frames):
|
|||
|
|
"""将录制的音频保存为WAV文件"""
|
|||
|
|
# 使用固定文件名
|
|||
|
|
filename = os.path.join(os.getcwd(), "output.wav")
|
|||
|
|
|
|||
|
|
# 保存WAV文件
|
|||
|
|
try:
|
|||
|
|
wf = wave.open(filename, 'wb')
|
|||
|
|
wf.setnchannels(1)
|
|||
|
|
wf.setsampwidth(2) # 16位音频
|
|||
|
|
wf.setframerate(self.sample_rate)
|
|||
|
|
wf.writeframes(b''.join(frames))
|
|||
|
|
wf.close()
|
|||
|
|
log_info(f"录音已保存: {filename}")
|
|||
|
|
|
|||
|
|
# 发送录音完成消息
|
|||
|
|
self.client_tool.send_message(f"录音完成:{filename}")
|
|||
|
|
except Exception as e:
|
|||
|
|
log_info(f"保存录音文件时出错: {e}")
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
log_info("语音唤醒程序启动...")
|
|||
|
|
detector = WakeWordDetector()
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
while True:
|
|||
|
|
time.sleep(1)
|
|||
|
|
except KeyboardInterrupt:
|
|||
|
|
log_info("正在关闭程序...")
|
|||
|
|
detector.client_tool.shutdown()
|
|||
|
|
detector.porcupine.delete()
|
|||
|
|
log_info("程序终止")
|
|||
|
|
except Exception as e:
|
|||
|
|
log_info(f"主程序异常: {e}")
|