python: Text-to-Speech and Speech-to-Text

 

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""" python.exe -m pip install --upgrade pip pip install pyttsx3 pip install comtypes pip install Pillow pip install requests   pip install PocketSphinx pip install SpeechRecognition   python: 3.11   """     import sys import os import pyttsx3 as pyttsx from win32com.client import Dispatch from comtypes.client import CreateObject #from comtypes.tools import SpeechLib import speech_recognition as sr engine = CreateObject("SAPI.SpVoice") stream = CreateObject("SAPI.SpFileStream") from comtypes.gen import SpeechLib     class ttsHepler(object):     """       """           def ttsstrx(self, word:str):         """         文本转换为语音         :param word:         :return:         """         engine = pyttsx.init()         engine.say(word)         engine.runAndWait()         def ttswin(self,word:str):         """         文本转换为语音         :param word:         :return:         """         #msg = "Python由荷兰数学和计算机科学研究学会的吉多·范罗苏姆于1990年代初设计，作为一门叫做ABC语言的替代品。"         speaker = Dispatch("SAPI.SpVoice")         speaker.Speak(word)         del speaker       def ttslib(self,word:str,dy=False):         """ 　　　　　文本转语音         :param word:         :return:         """         engine = CreateObject("SAPI.SpVoice",dynamic=dy)         stream = CreateObject("SAPI.SpFileStream",dynamic=dy)         from comtypes.gen import SpeechLib         infile = 'fileText.txt'         f = open(infile, 'r',encoding='utf-8')         theText = f.read()         f.close()           outfile = 'demo_audio.wav'           stream.Open(outfile, SpeechLib.SSFMCreateForWrite)         engine.AudioOutputStream = stream         engine.speak(theText)         stream.close()       def sttspeech(self):         """         语音转换为文本         下载普通话识别文件         下载路径：https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/Mandarin/         解压之后，修改文件名称，cmusphinx-zh-cn-5.2 改为 zh-CN，         zh_cn.cd_cont_5000文件夹改为acoustic-model，         zh_cn.dic改为pronounciation-dictionary.dict，         zh_cn.lm.bin改为language-model.lm.bin。         然后移动zn-CN文件夹到python3\Lib\site-packages\speech_recognition\pocketsphinx-data下。         :return:         """         r = sr.Recognizer()         audio_file = 'demo_audio.wav'         with sr.AudioFile(audio_file) as source:             audio = r.record(source)         try:             print("文本内容：", r.recognize_sphinx(audio, language='zh-CN'))             # 默认会识别为英文，如果要识别中文，需要下载普通话识别文件         except Exception as e:             print(e)