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Python Speech Recognition listen_in_background on button press?

Python Speech Recognition是一个用于语音识别的Python库。它可以将语音转换为文本,并且可以在不同的应用场景中使用。

在Python Speech Recognition中,listen_in_background()函数可以用于在按下按钮时进行后台语音识别。它允许我们在后台持续监听语音输入,并在检测到声音时执行回调函数。

以下是一个示例代码,演示了如何使用Python Speech Recognition的listen_in_background()函数来实现在按钮按下时进行语音识别:

代码语言:python
代码运行次数:0
复制
import speech_recognition as sr
import threading

def button_press_callback():
    # 创建一个Recognizer对象
    r = sr.Recognizer()

    def callback(recognizer, audio):
        try:
            # 将语音转换为文本
            text = recognizer.recognize_google(audio, language="en-US")
            print("识别结果:", text)
        except sr.UnknownValueError:
            print("无法识别语音")
        except sr.RequestError as e:
            print("请求错误:", str(e))

    # 开始监听语音输入
    with sr.Microphone() as source:
        print("请按下按钮并开始说话...")
        audio = r.listen_in_background(source, callback)

    # 按下按钮后,等待一段时间后停止监听
    threading.Timer(10, audio.stop).start()

# 模拟按钮按下事件
button_press_callback()

在上述代码中,我们首先导入了speech_recognition库,并创建了一个Recognizer对象。然后,我们定义了一个回调函数callback(),用于处理语音识别的结果。在回调函数中,我们使用recognize_google()函数将语音转换为文本,并打印出识别结果。

接下来,我们使用with语句打开麦克风,并调用listen_in_background()函数开始监听语音输入。在按钮按下后,我们使用threading.Timer()函数设置一个定时器,等待一段时间后调用audio.stop()停止监听。

最后,我们调用button_press_callback()函数来模拟按钮按下事件,从而开始语音识别。

这是一个简单的示例,你可以根据自己的需求进行修改和扩展。如果你想了解更多关于Python Speech Recognition库的信息,可以访问腾讯云的产品介绍页面:Python Speech Recognition产品介绍

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