frames_per_buffer=NUM_SAMPLES) #设置内存中开出来的缓冲区大小。 my_buf=[] #定义例表。用例表来存储录音设备写入内存中的音频流数字内容。 count=0 #设置计数器。 while count<TIME*8:#控制录音时间 string_audio_data = stream.read(NUM_SAMPLES) my_buf.append(str
2.在设备上打开所需音频参数的流 audio_stream=pyaudio.PyAudio.open(rate,channels,format,input=False,output=False,input_device_index=None,output_device_index=None,frames_per_buffer=0,start=True,input_host_api_specific_stream_info=None,output_host_api_specific_stream_info=None,stream_callback=None...
importpyaudiodefopen_microphone():# 创建PyAudio对象audio=pyaudio.PyAudio()# 打开麦克风stream=audio.open(format=pyaudio.paInt16,channels=1,rate=44100,input=True,frames_per_buffer=1024)# 开始录音print("开始录音...")frames=[]whileTrue:data=stream.read(1024)frames.append(data)# 可以在这里添加其...
input=True, frames_per_buffer=CHUNK) 监听声音:在循环中从音频流中读取数据,并对其进行处理。这里您可以根据需要实现自己的声音检测算法。 while True: data = stream.read(CHUNK) # 处理音频数据,例如进行FFT变换等 # ... 三、实现公众号提醒 导入库:在Python脚本中导入itchat库。 import itchat 登录公众号...
open( format=FORMAT, channels=CHANNELS, rate=RATE, frames_per_buffer=CHUNK, input=True, ) print("正在录制...") frames = [] for _ in range(0, int(RATE / CHUNK * RECORD_SECONDS)): data = stream.read(CHUNK) frames.append(data) stream.stop_stream() stream.close() p.terminate() #...
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() 二、声音的预处理在采集完声音样本后,通常需要...
frames_per_buffer=AUDIO_CHUNK_SIZE, stream_callback=self.recordAudioCallback) self.wavStream.start_stream() else: self.isRecording = False self.m_button_record.SetLabel('Record Start') self.wavStream.stop_stream() self.wavStream.close() ...
frames_per_buffer=CHUNKSIZE) # 循环读取音频数据并播放出来 while True: data = stream.read(CHUNKSIZE) # 在这里添加对数据的处理和分贝计算 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. ...
(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()...
frames_per_buffer=CHUNK) plt.ion() fig, ax = plt.subplots() x = np.arange(0, CHUNK) line, = ax.plot(x, np.zeros(CHUNK)) ax.set_xlim(0, CHUNK) ax.set_ylim(-32768, 32767) wave_output_file = wave.open(WAVE_OUTPUT_FILENAME,'wb') ...