语音识别（将语音转换为文本）答案

【问题标题】：Voice Recognition (converting voice to text)语音识别（将语音转换为文本）
【发布时间】：2023-01-09 18:32:00
【问题描述】：

我有将语音转换为书面文本的代码，我想在将书面文本转换为文件后保存起来以便以后访问，我该如何在以下代码中执行？

import speech_recognition as sr


def main():

    r = sr.Recognizer()

    with sr.Microphone() as source:
        r.adjust_for_ambient_noise(source)

        print("Please say something to start recording the lecture ")

        audio = r.listen(source)

        print("Recognizing Now .... ")


        # recognize speech using google

        try:
            print("You have said \n" + r.recognize_google(audio))
            print("Audio Recorded Successfully \n ")


        except Exception as e:
            print("Error :  " + str(e))




        # write audio
        with open("recorded.wav", "wb") as f:
            f.write(audio.get_wav_data())


if __name__ == "__main__":
    main()

我试图创建另一个 python 文件并将其作为 .txt 运行，但它保存了未重新编码的代码

【问题讨论】：

标签： python linux voice-recognition

【解决方案1】：

在你的 def main(): 函数中，你需要使用 open() 打开一个文本文件，类似于如下所示：

transcript = open('transcript.txt', 'w')

在那之后你在哪里使用print("You have said " + r.recognize_google(audio))
您必须使用transcript文件描述符将来自r.recognize_google(audio)的数据写入上述transcript.txt文本文件

transcript.write(r.recognize_google(audio))

您还需要确保使用transcript.close()关闭打开的文件描述符

稍微修改了您的代码以显示如何执行此操作

import speech_recognition as sr


def main():

    transcript = open('transcript.txt', 'w')
    r = sr.Recognizer()

    with sr.Microphone() as source:
        r.adjust_for_ambient_noise(source)

        print("Please say something to start recording the lecture ")

        audio = r.listen(source)

        print("Recognizing Now .... ")


        # recognize speech using google

        try:
            print("You have said 
" + r.recognize_google(audio))
            transcript.write(r.recognize_google(audio))
            print("Audio Recorded Successfully 
 ")
        except Exception as e:
            print("Error :  " + str(e))

        # write audio
        with open("recorded.wav", "wb") as f:
            f.write(audio.get_wav_data())
            f.close()
    
    transcript.close()


if __name__ == "__main__":
    main()

【讨论】：