python实践-实现实时语音转文字本地部署版（二）

server/2025/2/22 4:55:59/

一、技术栈

python 3.10.6

vosk 需下载对应模型（vosk-model-cn-0.22）模型下载慢的同学看最后的资源链接。

pyaudio

keyboard

二、实现功能

本地化实现麦克风语音录入，实时生成文字，并保存至本地文档。

三、实现代码

python">from vosk import Model, KaldiRecognizer
import pyaudio  # 用于实时音频输入
import json  # 用于解析识别结果
import keyboard
import threading
import sys  # 引入 sys 模块用于退出程序# 指向模型根目录
model_path = "D:/2.DevEnv/vosk/vosk-model-cn-0.22"  # 注意路径使用正斜杠或双反斜杠
model = Model(model_path)
rec = KaldiRecognizer(model, 16000)  # 采样率设为 16000，与模型匹配# 初始化 PyAudio
p = pyaudio.PyAudio()# 打开音频流
stream = p.open(format=pyaudio.paInt16, channels=1, rate=16000, input=True, frames_per_buffer=4000)
stream.start_stream()recording = False
lock = threading.Lock()# 定义结束关键词
END_KEYWORDS = ["结束", "停止"]
# 用于存储识别出来的文本
recognized_text = ""def start_recognition():global recording, recognized_textwith lock:recording = Trueprint("开始录音，请说话...")try:while True:with lock:if not recording:breakdata = stream.read(4000)if rec.AcceptWaveform(data):result = json.loads(rec.Result())text = result.get("text", "")print(text)# 累加识别的文本recognized_text += text + " "# 检查是否包含结束关键词for keyword in END_KEYWORDS:if keyword in text:stop_recognition()breakexcept Exception as e:print(f"录音过程中出现错误: {e}")def stop_recognition():global recording, recognized_textwith lock:if not recording:returnrecording = Falseprint("停止录音")try:final_result = json.loads(rec.FinalResult())final_text = final_result.get("text", "")print("Final result:", final_text)# 累加最终识别的文本recognized_text += final_textexcept Exception as e:print(f"获取最终结果时出现错误: {e}")# 关闭音频流和 PyAudiotry:stream.stop_stream()stream.close()p.terminate()except Exception as e:print(f"关闭音频流时出现错误: {e}")# 保存识别的文本到文件try:with open('recognized_text.txt', 'w', encoding='utf-8') as file:file.write(recognized_text)print("识别的文本已保存到 recognized_text.txt")except Exception as e:print(f"保存文件时出现错误: {e}")# 终止程序运行sys.exit(0)def on_space_press(event):global recordingif event.name == 'space':with lock:if not recording:thread = threading.Thread(target=start_recognition)thread.start()else:stop_recognition()# 监听空格键事件
keyboard.on_press(on_space_press)print("按空格键开始识别，说 '结束' 或 '停止' 来结束录音。")
keyboard.wait()