当主线程在Python中继续执行时，如何从主线程中生成子线程

我正在制作一个将麦克风录制的音频转换为文本的应用程序。录音的时间可能会很长，例如3个小时，所以我想将其转换为持续时间较短（例如一分钟左右）的波形文件，然后产生一个子线程来执行音频到文本操作会更好，而主线程可以在下一分钟开始记录。音频到文本的操作比录制部分要快得多，因此定时不会成为问题。

这是我认为应如何工作的流程图。

我正在pyaudio用来录制音频。它的代码是：

import pyaudio
import wave
import time

def read_audio(stream):
    chunk = 1024  # Record in chunks of 1024 samples
    sample_format = pyaudio.paInt16  # 16 bits per sample
    channels = 2
    fs = 44100  # Record at 44100 samples per second
    seconds = 10
    filename = 'record.wav'
    frames = []  # Initialize array to store frames
    # Store data in chunks for 3 seconds
    
    for i in range(0, int(fs / chunk * seconds)):
        data = stream.read(chunk)
        frames.append(data)
    
    # Save the recorded data as a WAV file
    wf = wave.open(filename, 'wb')
    wf.setnchannels(channels)
    wf.setsampwidth(p.get_sample_size(sample_format))
    wf.setframerate(fs)
    wf.writeframes(b''.join(frames))
    wf.close()
    
    # Stop and close the stream
    stream.stop_stream()
    stream.close()

    

p = pyaudio.PyAudio()  # Create an interface to PortAudio
chunk = 1024  # Record in chunks of 1024 samples
sample_format = pyaudio.paInt16  # 16 bits per sample
channels = 2
fs = 44100
stream = p.open(format=sample_format,channels=channels,rate=fs,
                frames_per_buffer=chunk,input=True)
read_audio(stream)
p.terminate() # Terminate the PortAudio interface

对于语音识别，使用Google的API speech_recognition。其代码：

import speech_recognition as sr

def convert():
    sound = "record.wav"
 
    r = sr.Recognizer()
 
 
    with sr.AudioFile(sound) as source:
        r.adjust_for_ambient_noise(source)
        print("Converting Audio To Text and saving to file..... ") 
        audio = r.listen(source)
    try:

        value = r.recognize_google(audio) ##### API call to google for speech recognition

        if str is bytes: 
            result = u"{}".format(value).encode("utf-8")

        else: 
            result = "{}".format(value)

        with open("test.txt","a") as f:
            f.write(result)
        print("Done !\n\n")

    except sr.UnknownValueError:
        print("")
    except sr.RequestError as e:
        print("{0}".format(e))
    except KeyboardInterrupt:
        pass
 
convert()