channels=1,rate=44100,input=True,frames_per_buffer=1024)# 循环读取麦克风音量whileTrue:# 读取一帧音频数据data=np.fromstring(stream.read(1024),dtype=np.int16)# 计算音量volume=np.max(data)print(volume)# 关闭麦克风stream.stop_stream()stream.close()p.terminate()...
使工作，所以我用：https://python-sounddevice.readthedocs.io/en/0.3.3/examples.html#plot-micropho...
org/create-a-real-time-voice-translator-use-python/在本文中,我们将使用 Python 创建一个实时语音翻译器。需要的模块播放声音:该模块用于 Python 中播放声音 pip install playsound 语音识别模块:它是一个库,借助于这个库 Python 可以识别给定的命令。我们必须使用画中画进行语音识别。
中的speech-recognition-from-microphone-with-endpoint-detection.py 做为附录,供大家阅读。 使用sherpa-ncnn 的Python API 进行实时语音识别的代码如下。 代码的详细解释,请参考文档: k2-fsa.github.io/sherpa #!/usr/bin/env python3 # Real-time speech recognition from a microphone using sherpa-ncnn Python...
(1) # 暂停一会儿 def record_audio_realtime(self): self.label_12.setText("开始录音...") # 添加的确认信息 chunk = 1024 format = pyaudio.paInt16 channels = 1 rate = 44100 p = pyaudio.PyAudio() # 打开流 stream = p.open(format=format, channels=channels, rate=rate, input=True, ...
plt.xlabel("Time [s]")#绘制 microphone 1 处接收到的信号plt.subplot(2, 1, 2) plt.plot(np.arange(len(room.mic_array.signals[1, :])) / room.fs, room.mic_array.signals[1, :]) plt.title("Microphone 1 signal") plt.xlabel("Time [s]") ...
('Microphone 1 signal') plt.xlabel('Time [s]') plt.subplot(224) plt.plot(np.arange(len(room.mic_array.signals[0,:]))/room.fs, room.mic_array.signals[0,:]) plt.title('Microphone 0 signal') plt.xlabel('Time [s]') # plt.tight_layout() # plot the original spectrogram spec_...
sin, sum import mpl_toolkits.mplot3d from pylab import figure, show, scatter, subplot, imshow, title, colorbar,\ xlabel, ylabel #=== # First, we define the microphone geometry. #=== micgeofile = path.join('/home/sunshine/桌面/code_C_PY_2022/py/...
Since input from a microphone is far less predictable than input from an audio file, it is a good idea to do this anytime you listen for microphone input. Python >>> with mic as source: ... r.adjust_for_ambient_noise(source) ... audio = r.listen(source) ... After running ...
🎤 Real-time audio capture from microphone: Capture audio input directly from your microphone with minimal latency. 🔊 Real-time audio playback of AI responses: Play back audio responses generated by the AI in real-time, providing immediate feedback to users. 🧠 Integration with OpenAI's ...