同时使用pyaudio和语音识别
Using pyaudio and Speech Recognition at the same time
我想在使用语音识别时录制音频并获取音频文件。出于某种原因,我的程序总是在几分钟后崩溃。它也不会创建音频文件。
我怀疑使用线程存在问题,因为这两个进程都可以自己正常工作。不幸的是我找不到任何东西。
有谁知道我如何解决这个问题或如何在录制声音时使用语音识别?
import threading
import speech_recognition as sr
import pyaudio
import wave
import time
status = True
def record():
chunk = 1024
sample_format = pyaudio.paInt16
channels = 1
fs = 44100
filename = 'output.wav'
global status
p = pyaudio.PyAudio()
print('Recording')
stream = p.open(format=sample_format,
channels=channels,
rate=fs,
frames_per_buffer=chunk,
input=True)
frames = []
while status == True:
data = stream.read(chunk)
frames.append(data)
stream.stop_stream()
stream.close()
p.terminate()
print('Finished recording')
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()
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
said = ''
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')
thread1=threading.Thread(target=record)
thread1.start()
thread2=threading.Thread(target=get_audio)
thread2.start()
time.sleep(5)
status=False
您可以使用语音识别录制和保存声音。只需使用这部分代码,它就会创建一个 speech.wav 文件:
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
with open('speech.wav', 'wb') as f:
f.write(audio.get_wav_data())
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')
我想在使用语音识别时录制音频并获取音频文件。出于某种原因,我的程序总是在几分钟后崩溃。它也不会创建音频文件。 我怀疑使用线程存在问题,因为这两个进程都可以自己正常工作。不幸的是我找不到任何东西。 有谁知道我如何解决这个问题或如何在录制声音时使用语音识别?
import threading
import speech_recognition as sr
import pyaudio
import wave
import time
status = True
def record():
chunk = 1024
sample_format = pyaudio.paInt16
channels = 1
fs = 44100
filename = 'output.wav'
global status
p = pyaudio.PyAudio()
print('Recording')
stream = p.open(format=sample_format,
channels=channels,
rate=fs,
frames_per_buffer=chunk,
input=True)
frames = []
while status == True:
data = stream.read(chunk)
frames.append(data)
stream.stop_stream()
stream.close()
p.terminate()
print('Finished recording')
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()
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
said = ''
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')
thread1=threading.Thread(target=record)
thread1.start()
thread2=threading.Thread(target=get_audio)
thread2.start()
time.sleep(5)
status=False
您可以使用语音识别录制和保存声音。只需使用这部分代码,它就会创建一个 speech.wav 文件:
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
with open('speech.wav', 'wb') as f:
f.write(audio.get_wav_data())
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')