title: Deepspeech - inferring for more audio files and saving the output
body: <p>I am done with my training on common voice data for deepspeech from Mozilla and now I am able to get output for a single audio <code>.wav</code> file. Below is the command I am using.  </p>
  
  <pre><code>(deepspeech-venv) megha@megha-medion:~/Alu_Meg/DeepSpeech_Alug_Meg/DeepSpeech$ ./deepspeech my_exportdir/model.pb/output_graph.pb models/alphabet.txt myAudio_for_testing.wav
  </code></pre>
  
  <p>here, myAudio_for_testing.wav is the audio file I am using to get the below output. </p>
  
  <pre><code>TensorFlow: v1.6.0-9-g236f83e
  DeepSpeech: v0.1.1-44-gd68fde8
  Warning: reading entire model file into memory. Transform model file into an mmapped graph to reduce heap usage.
  2018-06-29 14:51:35.832686: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  heritor teay we decide the lunch ha annral limined eddition of y ye com im standmat
  </code></pre>
  
  <p><strong>heritor teay we decide the lunch ha annral limined eddition of y ye com im standmat</strong></p>
  
  <p>Here are my few questions,</p>
  
  <p>1) The bolded sentence above is the output for my audio. how can I save this so some file? </p>
  
  <p>2) I have around 2000 audio files like this. how can I read 1 by 1 and get output? I tried to write a script in python to read all the .wav audio files I have, but as my deepspeech is using some sources which are kept in a virtual environment, I am not getting how I can I write my deepspeech command inside the script. 
  Can you guys give me some hints to proceed with? It will be a great help.</p>
  
  <p>Thank you:)</p>
  
  <p>Megha</p>