url = "http://op.juhe.cn/yuntongxun/voice" params = urlencode(params) f = urllib.urlopen("%s?%s" % (url, params)) content = f.read() res = json.loads(content) # 处理响应 if res and res["error_code"] == 0: print("发送成功:", res["result"]) else: print("发送失败:", re...
import wave,time def SaveVoice(): pa=PyAudio() wf=wave.open(r'T.wav','wb')#打开wave文件 wf.setnchannels(1)#配置声道数 wf.setsampwidth(2)# 采样宽度2bytes wf.setframerate(16000)#采样率 stream=pa.open(format=paInt16,channels=wf.getnchannels(),rate=wf.getframerate(),input=True,frame...
Whisper is a general-purpose open-source speech recognition transformer model, trained on a large dataset of diverse weakly supervised audio (680,000 hours) on multiple languages on different tasks (speech recognition, speech translation, language identification, and voice activity detection). Whisper ...
在这段代码中,我们首先导入speech_recognition库,并创建了一个Recognizer对象。然后利用麦克风录制了一段音频,并使用Google语音识别进行转换。打印出了转换后的文本。 除了Google语音识别外,speech_recognition还支持多种其他语音识别引擎,如Microsoft Bing Voice Recognition、IBM Speech to Text等。可以通过更改recognition函数...
set_voice_format("wav") req.set_word_info(0) req.set_convert_num_mode(1) #执行识别 resultData = recognizer.recognize(req, audio_bytes) resp = json.loads(resultData) request_id = resp["request_id"] code = resp["code"] if code != 0: print("recognize faild! request_id: ", ...
elif msgType == 'voice': content = xml.find('Recognition').text try: msg = takl_api.talk(content, userid) return self.render.reply_text(fromUser,toUser,int(time.time()), msg) except: return self.render.reply_text(fromUser,toUser,int(time.time()), content + '这货还不够聪明,换...
Microsoft Bing Voice Recognition (Deprecated) Houndify API IBM Speech to Text Snowboy Hotword Detection(works offline) Quickstart:pip install SpeechRecognition. See the "Installing" section for more details. To quickly try it out, runpython -m speech_recognitionafter installing. ...
I want to create a personal assistant using Python 3 but I require a voice recognition system which can convert speech to text for me and then I can use text for further
speaker = win32com.client.Dispatch("SAPI.SPVOICE")classSpeechRecognition:def__init__(self, wordsToAdd): self.speaker = win32com.client.Dispatch("SAPI.SpVoice") self.listener = win32com.client.Dispatch("SAPI.SpSharedRecognizer") self.context = self.listener.CreateRecoContext() ...
Install the module win32com, then you can use this code: importwin32com.clientaswincl speak = wincl.Dispatch("SAPI.SpVoice") speak.Speak("Hello World") IBM Watson TTS IBM has created an tts API, which is free for a limited amount of queries. ...