基于python语音启动电脑应用程序

osk模型进行输入语音转换
txt字典导航程序路径
pyttsx3引擎进行语音打印输出

关键词=程序路径

import os
import json
import queue
import sounddevice as sd
from vosk import Model, KaldiRecognizer
import subprocess
import time
import pyttsx3
import threading# 初始化 pyttsx3 引擎
engine = pyttsx3.init()
engine.setProperty('rate', 150)    # 设置语速
engine.setProperty('volume', 1.0)  # 设置音量# 加载Vosk模型
model_path = r"D:\daku\yuyinshibie\vosk-model-small-cn-0.22"
if not os.path.exists(model_path):print(f"模型路径不存在: {model_path}")engine.say(f"模型路径不存在: {model_path}")engine.runAndWait()exit(1)# 读取字典文件，格式为 "命令=程序路径"
def load_app_dict(file_path):app_dict = {}if not os.path.exists(file_path):print(f"字典文件不存在: {file_path}")engine.say(f"字典文件不存在: {file_path}")engine.runAndWait()return app_dictwith open(file_path, 'r', encoding='utf-8') as file:for line in file:parts = line.strip().split('=')if len(parts) == 2:keys, value = parts# 处理可能存在的别名情况，例如 "微信,weixin"for key in keys.split('，'):app_dict[key.strip()] = value.strip()return app_dict# 启动应用程序
def launch_application(app_name, app_dict):if app_name in app_dict:app_path = app_dict[app_name]response = f"正在启动 {app_name}..."say(response)subprocess.Popen(app_path)time.sleep(2)  # 等待2秒再继续监听else:response = f"找不到与 '{app_name}' 对应的应用程序。"say(response)# 定义一个函数用于语音输出，并在说的时候暂停监听
def say(text):global stream, callback_funcif stream is not None:with stream_lock:stream.callback = None  # 移除回调函数以暂停监听stream.stop()           # 暂停音频流engine.say(text)engine.runAndWait()if stream is not None:with stream_lock:stream.start()          # 恢复音频流stream.callback = callback_func  # 重新设置回调函数# 初始化模型和识别器
model = Model(model_path)
rec = KaldiRecognizer(model, 16000)q = queue.Queue()last_partial_result = ""
last_full_command = ""stream_lock = threading.Lock()
stream = None
callback_func = Nonedef callback(indata, frames, time, status):if status:print(status, file=sys.stderr)q.put(bytes(indata))# 主程序
if __name__ == "__main__":dict_file = r"D:\daku\yuyinshibie\zidian.txt"  # 字典文件路径app_dict = load_app_dict(dict_file)try:# 提前初始化音频流callback_func = callbackstream = sd.RawInputStream(samplerate=16000, blocksize=8000, dtype='int16',channels=1, callback=callback)stream.start()say("请说：")while True:data = q.get()if rec.AcceptWaveform(data):result = json.loads(rec.Result())command = result['text'].strip()if command and command != last_full_command:print(f"你说的是: {command}")say(f"你说的是: {command}")if "打开" in command:app_to_open = command.replace("打开", "").strip()launch_application(app_to_open, app_dict)last_full_command = commandelif rec.PartialResult():partial_result = json.loads(rec.PartialResult())['partial']if partial_result and "打开" in partial_result and partial_result != last_partial_result:print(f"部分结果: {partial_result}")say(f"部分结果: {partial_result}")last_partial_result = partial_resultexcept KeyboardInterrupt:say("\n退出程序。")finally:if stream is not None:stream.stop()stream.close()