python自带语音识别库识别语音文件（wav）

最近在试语音转文本，了解了一些相关的东西，记录一下。

一、python speechRecogniton库

python自带的speechRecognition库是一个多功能的实现语音识别的库，细节网上有很多，可以搜到，可以参考

https://blog.csdn.net/alice_tl/article/details/89684369

 

二、使用说明

1. 安装speechRecognition库

   pip install speechrecognition

    

2. 使用，定义不同类别的函数

   import speech_recognition as sr
   
   global r
   r = sr.Recognizer()
   
   #调用谷歌的语音api
   def google(audio):
   	try:
   		print("Google: ")
   		return r.recognize_google(audio)
   	except sr.UnknownValueError:
   		print("Google Speech Recognition could not understand audio")
   		return None
   	except sr.RequestError as e:
   		print("Could not request results from Google Speech Recognition service; {0}".format(e))
   		return "None"
   
   #使用wit的
   def wit(audio):
   	# recognize speech using Wit.ai
   	WIT_AI_KEY = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXx"  # Wit.ai keys are 32-character uppercase alphanumeric strings
   	try:
   		#print("Wit.ai: ")
   		return r.recognize_wit(audio, key=WIT_AI_KEY)
   	except sr.UnknownValueError:
   		print("Wit.ai could not understand audio")
   		return "None"
   	except sr.RequestError as e:
   		print("Could not request results from Wit.ai service; {0}".format(e))
   		return "None"
   
   #调用bing的
   def bing(audio):
   	BING_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
   	# recognize speech using Microsoft Bing Voice Recognition
   	try:
   		#print("Microsoft Bing Voice Recognition: ")
   		return r.recognize_bing(audio, key=BING_KEY)
   	except sr.UnknownValueError:
   		print("Microsoft Bing Voice Recognition could not understand audio")
   		return "None"
   	except sr.RequestError as e:
   		print("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e))
   		return "None"
   	
   # Query IBM
   def ibm(audio):
   
   	# recognize speech using IBM Speech to Text
   	IBM_USERNAME = "xxxxxxxxxxxxxxxxxxxxxxxxxx"  # IBM Speech to Text usernames are strings of the form XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
   	IBM_PASSWORD = "xxxxxxxxxxxxxxxxx"  # IBM Speech to Text passwords are mixed-case alphanumeric strings
   	try:
   		#print("IBM Speech to Text: ")
   		return r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD, show_all=False)
   	except sr.UnknownValueError:
   		print("IBM Speech to Text could not understand audio")
   		return "None"
   	except sr.RequestError as e:
   		print("Could not request results from IBM Speech to Text service; {0}".format(e))
   		return "None"
   
   #使用sphinx的
   def sphinx(audio):
   	try:
   		print("-------------Sphinx successfully recognized the audio ---------")
   		return r.recognize_sphinx(audio)
   	except sr.UnknownValueError:
   		print("Sphinx could not understand audio")
   	except sr.RequestError as e:
   		print("Sphinx error; {0}".format(e))

   需要注意的是，其中sphinx的可以离线使用，需要安装sphinx包，其他的几个都要联网。谷歌的不需要注册，其他几个需要注册码。

3. 使用定义的函数识别具体的语音文件：需要注意，只能识别wav格式，如果不是，先转成wav

   from pydub import AudioSegment
   
   
   r = sr.Recognizer()
   
   
   def speech_to_text(path_file):
       #转格式
       song = AudioSegment.from_mp3(path_file)
       song.export("audio.wav", format="wav")#默认是本地路径
   
       with sr.AudioFile('audio.wav') as source:  # AudioFile 类可以通过音频文件的路径进行初始化，并提供用于读取和处理文件内容的上下文管理器界面。
   
           audio = r.record(source)  # 从音频文件中获取数据
           print(audio)
   
       print("Submitting To Speech to Text:")
       determined = sphinx(audio)  # Instead of google, you can use ibm or bing here
       print(determined)
       return  determined