我正在使用Google Speech API尝试以下语音识别代码。
#!/usr/bin/env python3
# Requires PyAudio and PySpeech.
import speech_recognition as sr
# Record Audio
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)
# Speech recognition using Google Speech Recognition
try:
# for testing purposes, we're just using the default API key
# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
# instead of `r.recognize_google(audio)`
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; {0}".format(e))
但我只得到这个。
jobin@jobin-Satellite-A665:~/scr$ python3 scr.py
Say something!
即使我说了什么,也没有任何反应。
我没有外接麦克风。我认为这个脚本适用于我的笔记本电脑的内置麦克风。
我测试了笔记本电脑的麦克风here。它工作正常。
我错过了什么吗?
答案 0 :(得分:2)
您可以通过运行以下命令来测试pyAudio是否正在找到您的麦克风:
"""PyAudio example: Record a few seconds of audio and save to a WAVE file."""
import pyaudio
import wave
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "output.wav"
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
print("* recording")
frames = []
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
data = stream.read(CHUNK)
frames.append(data)
print("* done recording")
stream.stop_stream()
stream.close()
p.terminate()
wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()
播放生成的output.wav
文件。
一旦你确信你得到了一些音频,我会在原始代码中添加几个印刷语句,以确定你得到多少,即:
print("Audio captured!") # before trying to recognise see if you have something
和
print('Recognition Ended') # at the end of the script
这可以让你看到你到底有多远。
接下来,您可能需要找出哪个是默认音频设备:
import pyaudio
print(pyaudio.pa.get_default_input_device())
哪个应该告诉你默认输入设备,这是我的机器上的一个,所以使用它:
with sr.Microphone(1) as source: # Specify which input device to use
r.adjust_for_ambient_noise(source, 1) # Adjust for ambient
print("Say something!")
audio = r.listen(source, 2) # 2 Second time out
print('Done Listening sample size =', len(audio.frame_data))