https://blog.csdn.net/tianyawp123/article/details/101702123

python自带语音识别库识别语音文件（wav）

Cindy-W123 2019-09-29 17:33:04 1608 收藏 12
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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
安装speechRecognition库
pip install speechrecognition
 

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。

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
 
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原文链接：https://blog.csdn.net/tianyawp123/java/article/details/101702123