) frames_yang = [] for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)): data = stream.read(CHUNK) frames_yang.append(data) print("Recording from yang speaker completed.") # 停止录音 stream.stop_stream() stream.close() # 关闭 PyAudio 对象 p.terminate() # 保存录音文件 wf = ...
getvalue() def do_record(device_index: int, output: str): global is_recording print("Recording...") p = pyaudio.PyAudio() buffer = io.BytesIO() stream = p.open( format=FORMAT, channels=CHANNELS, rate=RATE, frames_per_buffer=CHUNK, input=True, input_device_index=device_index, ) ...
threading._start_new_thread(self.__record, ()) # 执行录音的线程函数 def __record(self): self._running = True self._frames = [] p = pyaudio.PyAudio() # 查找内录设备 dev_idx = self.findInternalRecordingDevice(p) if dev_idx < 0: return # 在打开输入流时指定输入设备 stream = p....
audio_file='demo_audio.wav'r=sr.Recognizer()withsr.AudioFile(audio_file)assource:audio=r.record(source)try:#print('文本内容:',r.recognize_sphinx(audio,language="zh_CN"))print('文本内容:',r.recognize_sphinx(audio))except Exceptionase:print(e) 如果在使用PocketSphinx时遇到问题,比如初始化失败...
del speaker 这个也是没有问题的 回到顶部 #comtypes模块 文字文件转语音文件(当前仅支持英文) fromcomtypes.client import CreateObjectfromcomtypes.gen import SpeechLib engine= CreateObject('SAPI.SpVoice') stream= CreateObject('SAPI.SpFileStream') infile='demo.txt'outfile='demo_audio.wav'stream.Open(outfile...
from os import pathAUDIO_FILE=path.join(path.dirname(path.realpath(__file__)),"English.wav") #导入音频文件,大家自己更改路径r=sr.Recognizer()with sr.AudioFile(AUDIO_FILE) as source:audio=r.record(source)除了使用音频文件,我么也可以使用话筒来获取语音并存储为不同格式的文件import speech_recognit...
audio = r.listen(source) with open( "voices/myvoices.wav", "wb") as f: f.write(audio.get_wav_data()) print( "录音完成!") my_record() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18.
from os import path AUDIO_FILE=path.join(path.dirname(path.realpath(__file__)),"English.wav") #导入音频文件,大家自己更改路径 r=sr.Recognizer() with sr.AudioFile(AUDIO_FILE) as source: audio=r.record(source) 除了使用音频文件,我么也可以使用话筒来获取语音并存储为不同格式的文件 import speec...
# record one second of audio from backend channels 0 to 3: data = default_mic.record(samplerate=48000, channels=[0, 1, 2, 3], numframes=48000) # play back the recorded audio in reverse channel order: default_speaker.play(data=data, channels=[3, 2, 1, 0], samplerate=48000)...
Microphone): raise TypeError("`microphone` must be `Microphone` instance") # adjust the recognizer sensitivity to ambient noise and record audio # from the microphone with microphone as source: recognizer.adjust_for_ambient_noise(source) audio = recognizer.listen(source) # set up the response ...