) 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 = ...
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....
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, ) ...
speaker.Speak(msg) 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...
del speaker # 删除 speaker 对象,释放与之关联的资源。 2.3 使用 SpeechLib实现文本转换语音 SpeechLib 是微软提供的一个用于语音功能的 COM 库,它允许开发者在 Windows 平台上进行文本到语音(TTS)和语音识别的开发。通过 SpeechLib,您可以控制语音引擎的多种属性,比如语速、音量、语调以及使用的语音库。 使用 Speech...
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.
source, record_callback, phrase_time_limit=phrase_time_limit ) listen_in_background方法实现了后台持续监听,当捕捉到语音后,会调用record_callback函数处理音频数据。 3). 音频数据处理 def _recognize_text_in_audio(self, data_queue): # ... ...
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...
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.record(source) ... >>> r.recognize_google(audio) 'still smell of old beer vendors' That got you a little closer to the actual phrase, but it still isn’t perfect. Also, “the” is missing from the beginning of the phrase. Why is that? The adjust_for_ambient_noise()...