rate=sample_rate, input=True, frames_per_buffer=chunk_size) print("Recording...") frames = [] for i in range(0, int(sample_rate / chunk_size * record_seconds)): data = stream.read(chunk_size) frames.append(data)
其中每个 ( M ) 为设备的信息字典。 importpyaudiodefget_microphone_list():p=pyaudio.PyAudio()mic_list=[]foriinrange(p.get_count()):info=p.get_device_info_by_index(i)ifinfo['maxInputChannels']>0:mic_list.append(info['name'])p.terminate()returnmic_list 1. 2. 3. 4. 5. 6. 7...
该模块主要负责从麦克风捕获音频输入。接下来，我们将编写一个简单的函数来实现此功能：import speech_recognition as srdef get_audio(): # 初始化识别器对象 recognizer = sr.Recognizer() # 将麦克风设置为音频源 with sr.Microphone() as source: print("请开始说话...") # 调整麦克风以...
# cased = subprocess.check_output('python recasepunc/recasepunc.py predict recasepunc/checkpoint', shell=True, # text=True, input=text) # output.append_stdout(cased) time.sleep(1) record_microphone() def start_recording(): messages.put(True) display("Starting...") record = Thread(target...
import sounddevice as sd import numpy as np def callback(indata, frames, time, status): if status: print(status) volume = np.linalg.norm(indata) / np.sqrt(len(indata)) print(f"Volume: {volume:.2f}") def listen_and_process_audio(sample_rate=44100, channels=2): with sd.InputStream...
fromctypesimportcast,POINTERfromcomtypesimportCLSCTX_ALLfrompycaw.pycawimportAudioUtilities,IAudioEndpointVolumedeflist_audio_input_devices():devices=AudioUtilities.GetMicrophone()returndevicesdefswitch_audio_input(device_name):devices=AudioUtilities.GetMicrophone()fordeviceindevices:ifdevice_nameindevice.friendly...
with sr.Microphone() as source: print("请说话...") audio = recognizer.listen(source) try: user_input = recognizer.recognize_google(audio, language='zh-CN') print("你说的是: " + user_input) respond("你刚才说的是: " + user_input) ...
from ctypes import cast,POINTER from comtypes import CLSCTX_ALL from pycaw.pycaw import AudioUtilities,IAudioEndpointVolume my_mic=AudioUtilities.GetMicrophone() interface=my_mic.Activate(IAudioEndpointVolume._iid_,CLSCTX_ALL,None) volume=cast(interface,POINTER(IAudioEndpointVolume)) mute=volume.GetMut...
然后使用with sr.Microphone() as source语句块,将麦克风设置为音频源。在try块中,使用r.listen(source)方法监听麦克风输入,并将音频数据存储在audio变量中。接着,使用r.recognize_google(audio, language="zh-CN")方法将音频数据发送给Google Speech Recognition引擎进行语音识别,识别结果存储在text变量中。最后,...
room.add_microphone_array(mic_locs)# 最后将麦克风阵列放在房间里# 4、创建房间冲击响应(Room Impulse Response)room.compute_rir()# 5、模拟声音传播,每个源的信号将与相应的房间脉冲响应进行卷积。卷积的输出将在麦克风上求和。room.simulate()# 保存所有的信号到wav文件room.mic_array.to_wav("./guitar_16k...