python自帶語音識別庫識別語音文件（wav）

最近在試語音轉文本，瞭解了一些相關的東西，記錄一下。

一、python speechRecogniton庫

python自帶的speechRecognition庫是一個多功能的實現語音識別的庫，細節網上有很多，可以搜到，可以參考

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

 

二、使用說明

1. 安裝speechRecognition庫

   pip install speechrecognition

    

2. 使用，定義不同類別的函數

   import speech_recognition as sr
   
   global r
   r = sr.Recognizer()
   
   #調用谷歌的語音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"
   
   #調用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的可以離線使用，需要安裝sphinx包，其他的幾個都要聯網。谷歌的不需要註冊，其他幾個需要註冊碼。

3. 使用定義的函數識別具體的語音文件：需要注意，只能識別wav格式，如果不是，先轉成wav

   from pydub import AudioSegment
   
   
   r = sr.Recognizer()
   
   
   def speech_to_text(path_file):
       #轉格式
       song = AudioSegment.from_mp3(path_file)
       song.export("audio.wav", format="wav")#默認是本地路徑
   
       with sr.AudioFile('audio.wav') as source:  # AudioFile 類可以通過音頻文件的路徑進行初始化，並提供用於讀取和處理文件內容的上下文管理器界面。
   
           audio = r.record(source)  # 從音頻文件中獲取數據
           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