Ubuntu16.04实现Sphinx离线语音识别
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- 自带Python2.7或3.0+版本都可以 使用的是3.5编译
- 需要安装SpeechRecognition模块
- 需要.wav作为测试数据
1 安装SpeechRecognition模块
pip install SpeechRecognition` 若是3版本则使用pip3 .
2 安装验证
>>> import speech_recognition as sr
>>> sr.__version__
'3.8.1'还可以看看它具备属性函数 
3 创建Recognizer实例
>>> r = sr.Recognizer()
每个Recognizer实例有七个语音识别方法：
recognize_bing(): Microsoft Bing Speech
recognize_google(): Google Web Speech API
recognize_google_cloud(): Google Cloud Speech - requires installation of the google-cloud-speech package
recognize_houndify(): Houndify by SoundHound
recognize_ibm(): IBM Speech to Text
recognize_sphinx(): CMU Sphinx - requires installing PocketSphinx
recognize_wit(): Wit.ai
这次使用recognize_sphinx()，安装：
pip install PocketSphinx如果出现以下错误： 
输入图示命令：
sudo apt-get build-dep python-PocketSphinx再次安装:
sudo pip install PocketSphinx --upgrade则提示安装成功
4 使用测试
#!/usr/bin/env python3
# NOTE: this example requires PyAudio because it uses the Microphone class
import speech_recognition as sr
# obtain audio from the microphone
r = sr.Recognizer()
harvard = sr.AudioFile('harvard.wav')
with harvard as source:
audio = r.record(source)
# recognize speech using Sphinx
try:
print("Sphinx thinks you said " + r.recognize_sphinx(audio))
except sr.UnknownValueError:
print("Sphinx could not understand audio")
except sr.RequestError as e:
print("Sphinx error; {0}".format(e))前期可以在解析器上一行行输入是否能运行，测试语音harvard.wav在https://github.com/realpython/python-speechrecognition/tree/master/audio_files
可以下载。或者自己提供也行，也可以通过调用麦克风录音保存文件。
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)5 结果
效果其实比百度api好一些，因为是英文识别
尝试其他的应用接口的话可以查阅其他文档。
参考:
1.https://github.com/Uberi/speech_recognition
2.https://realpython.com/python-speech-recognition/
3.http://www.mamicode.com/info-detail-93746.html
4,https://blog.csdn.net/qiaocuiyu/article/details/52093509
5.http://blog.itpub.net/16582684/viewspace-1243341/