设置 FORMAT = pyaudio.paInt16 CHANNELS = 1 RATE = 16000 CHUNK = 1024 RECORD_SECONDS = 5 # 创建 PyAudio 对象 p = pyaudio.PyAudio() # 麦克风录制 stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK) print("Start recording from microphone.....
import pyaudio import json from vosk import Model,KaldiRecognizerimport time p = pyaudio.PyAudio() messages = Queue() recordings = Queue() CHANNELS = 1 FRAME_RATE = 16000 RECORD_SECONDS = 2 AUDIO_FORMAT = pyaudio.paInt16 SAMPLE_SIZE = 2 def record_microphone(chunk=1024): p = pyaudio....
import pyaudio import json from vosk import Model, KaldiRecognizer import time p = pyaudio.PyAudio() messages = Queue() recordings = Queue() CHANNELS =1FRAME_RATE =16000RECORD_SECONDS =2AUDIO_FORMAT = pyaudio.paInt16 SAMPLE_SIZE =2def record_microphone(chunk=1024): p = pyaudio.PyAudio(...
audio = r.record(source) r = sr.Recognizer() try: print(" 音频内容为: " + r.recognize_sphinx(audio, language='zh-CN')) except sr.UnknownValueError: print('Sphinx could not understand audio') except sr.RequestError as e: print('Sphinx error; {0}'.format(e)) # print('文本内容: ...
"+data)except sr.UnknownValueError:print("Google Speech Recognition could not understand audio")except sr.RequestErrorase:print("Could not request results from Google Speech Recognition service; {0}".format(e))returndataif__name__=='__main__':time.sleep(2)whileTrue:data=recordAudio()print(...
PythonScriptMicrophoneUserPythonScriptMicrophoneUser开始操作开始录音记录音频数据显示频谱 配置详解 接下来,我们需要对代码中的配置进行深入了解。我们将展示一个配置文件的模板和重要的参数说明: # config.pyaudio_config={"chunk":1024,# 每次读取的帧数"format":"int16",# 音频格式"channels":1,# 单通道"rate"...
Recordaudio from your microphone to a NumPy or Python array Storeyour recorded audio a range of different formats, including WAV and MP3 Convertyour sound files to a range of different audio formats You now have the information you need to help you decide which libraries to use to start worki...
("audio.mp3") # 录下来你讲的话 def recordAudio(): # 用麦克风记录下你的话 r = sr.Recognizer() with sr.Microphone() as source: audio = r.listen(source) data = "" try: data = r.recognize_google(audio) print("You said: " + data) except sr.UnknownValueError: print("Google Speech...
A tool for recording audio from a microphone, transcribing the recording, and copying the transcription to the clipboard. Developed by Claus Helfenschneider Interactive Applications. Features The transcription is copied to the clipboard for easy pasting into other applications. Comes with a CLI, a UI...
Since Dejavu gets all of the samples from the song (without noise), it would be nasty surprise if reading the same file from disk didn't work every time! 2. Audio over laptop microphone Here I wrote a script to randomly chose n seconds of audio from the original mp3 file to play and...