python-3.x - 如何使用Python中的语音识别自动检测语言

Question

我正在开发一个应用程序，我想自动检测语言，然后打印它。
我的代码:

with sr.Microphone() as source:
audio = r.listen(source)
try:
    # Auto detect the language
    print("You said: " + r.recognize_google(audio))
except sr.UnknownValueError:
    print("Google Speech Recognition could not understand audio")
except sr.RequestError as e:
    print("Could not request results from Google Speech Recognition service")

希望你能理解。

Answer 1

对于您的答案来说可能为时已晚。但是，将来可能会有其他人在寻找。
我还没有找到一种使用Speech_recognition自动检测语言的方法。 Google API确实以备用语言数组的形式支持多种语言，它将尝试使用您指定的其他语言来提供翻译。
我克服了检测语言的问题的方式是，我只有两种语言。我可以拥有更多，而我只有两个。我使用唤醒词和命令。因此，我可以说(例如)“可以从西类牙语翻译计算机”，并且命令解析器确定意图是从西类牙语翻译。我为此使用了剪裁，但是您可以执行字符串标记化。无论如何，在那一点上，因为我知道目的是“来自西类牙语”，所以我将语言代码显式设置为“es”，如下所示:

 said = r.recognize_google(audio, language="es")

我的SpeechRecord类

import speech_recognition as sr

class SpeechRec:
    #https://techwithtim.net/tutorials/voice-assistant/wake-keyword/
    def record(self, lang='en'):
        r = sr.Recognizer()
        with sr.Microphone() as source:
            audio = r.listen(source)
            said = ""

            try:
                #can I detect the language?
                if (lang == 'en') :
                    said = r.recognize_google(audio, language='en-US')
                elif (lang == 'es') :
                    said = r.recognize_google(audio, language="es") 

                print(said)
            except Exception as e:
                if (str(e) != ""):
                    print("Exception: " + str(e))

        return said.lower()

监听循环-我从Flask事件中调用它，但在独立应用程序中它的作用相同

WAKE = "computer"
while True:
    text = SpeechRec().record()
    language = "en"

    if text.count(WAKE) > 0:
        text = SpeechRec().record()

        #here I have a call to determine the intent via Snips - I've removed that and just
        #placed a text comparison for simplicity.  Also, to note, using Snips I can reduce
        #the wake word and command to remove two of these 
        #"text = SpeechRec().record()" lines
        if (text == 'translate from spanish'):
            text = SpeechRec().record('es')
        else:
            text = SpeechRec().record()

        #at this point I do the translation and print the value from the translation

这可能不是最优雅的解决方案。将来我可能会多次重写。但是，它可以满足我目前的需求。
我希望这有助于回答您的问题。