为什么Speech_recgonition永远不会停止,除非我手动停止程序?

问题描述 投票:0回答:1

几天前..请帮助

我想记录并打印输入麦克风中的内容。我有一个正在工作的内置麦克风。 (并且我已经检查过)。但是,当我打电话给recogniser.listen时,它永远不会停止收听。我已经在互联网上签到,有人说要添加到参数timeout=10所以我做到了,但它停止了,但我得到了:

raise WaitTimeoutError("listening timed out while waiting for phrase to start")
speech_recognition.WaitTimeoutError: listening timed out while waiting for phrase to start

即使我正在讲话。我的代码:

import pyaudio
import wave
import speech_recognition as sr
# OBATINED THE AUDIO
def play_audio(filename):
    chunk = 1024
    wf = wave.open(filename, "rb")
    pa = pyaudio.PyAudio()

# OPENING THE FILE WITH PYAUDIO.

stream = pa.open(
     format=pa.get_format_from_width(wf.getsampwidth()),  #GETTING THE FORMAT
     channels=wf.getnchannels(),  #GETTING THE CHANEL
     rate=wf.getframerate(), #GETTING THE FRAME RATE
     output=True)

data_stream = wf.readframes(chunk) #CREATING A DATA STREAM, WITH CHUNK SIZE

# WHILE THERE IS SOME DATA LEFT
while data_stream:
    #WRITING THE DATA
    stream.write(data_stream)
    #CONTINUE READING
    data_stream = wf.readframes(chunk)

#closing the stream
stream.close()
#terminating the pyaudio
pa.terminate()

def init_speech():
    print("Listening...")
    play_audio('sounds/when.wav')
    r = sr.Recognizer()
    # OPENING THE MICROPHONE AS source
    with sr.Microphone() as source:
        print("Say something")
        #listening with the recognizer object, and passing it the sorce.
        r.adjust_for_ambient_noise(source)
        audio = r.listen(source=source,timeout=10)


play_audio('sounds/fill.wav')
command = ""

try:
    command = r.recognize_sphinx(audio)
except:
    print("Couldn't understand you")

print("Your Command",command)

init_speech()

我尝试执行r.record(source),它没有崩溃,但是它总是转到except,并打印"Couldn't Understand you"

python speech-recognition python-3.7
1个回答
0
投票

按照文档的说明,当您退出with时,录制会停止。您可能会在之后打印一些信息,以知道录制已停止。这是10秒后停止录制的方法。

import speech_recognition as sr 
recognizer = sr.Recognizer() 
mic = sr.Microphone(device_index=1) 
with mic as source:
    recognizer.adjust_for_ambient_noise(source)
    captured_audio = recognizer.record(source=mic, duration=10)

(将持续时间更改为任何合适的时间,因为您将其用作超时示例,因此我使用了10,]]

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