title: How to improve the accuracy for speech-to-text conversion using recognize_sphinx API in Python
body: <p>How can we improve the accuracy of speech to text conversion using <code>recognize_sphinx</code> API in Python?</p>
  <p>Please find the below code, which needs to improve the accuracy base!</p>
  <pre><code>import speech_recognition as sr
  
  # Obtain path to &quot;english.wav&quot; in the same folder as this script
  from os import path
  AUDIO_FILE = path.join(path.dirname(path.realpath(file)), &quot;english.wav&quot;)
  AUDIO_FILE = path.join(path.dirname(path.realpath(file)), &quot;french.aiff&quot;)
  AUDIO_FILE = path.join(path.dirname(path.realpath(file)), &quot;chinese.flac&quot;)
  
  # Use the audio file as the audio source
  r = sr.Recognizer()
  with sr.AudioFile(AUDIO_FILE) as source:
  audio = r.record(source) # Read the entire audio file
  # Recognize speech using Sphinx
  try:
      print(&quot;Sphinx thinks you said &quot; + r.recognize_sphinx(audio))
  except sr.UnknownValueError:
      print(&quot;Sphinx could not understand audio&quot;)
  except sr.RequestError as e:
      print(&quot;Sphinx error; {0}&quot;.format(e))
  </code></pre>