https://blog.csdn.net/tianyawp123/article/details/101702123
python自帶語音識別庫識別語音文件（wav）
Cindy-W123 2019-09-29 17:33:04 1608 收藏 12
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最近在試語音轉文本，了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
安裝speechRecognition庫
pip install speechrecognition
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。谷歌的不需要注冊，其他幾個需要注冊碼。
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
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原文鏈接：https://blog.csdn.net/tianyawp123/java/article/details/101702123