Congratulations!

Spoken Language Processing in Python

Daniel Bourke

Machine Learning Engineer/YouTube creator

What you've done

  1. Converted audio files into soundwaves with Python and NumPy.
  2. Transcribed speech with speech_recognition.
  3. Prepared and manipulated audio files using PyDub.
  4. Built a spoken language processing pipeline with NLTK, spaCy and sklearn.
Spoken Language Processing in Python

What next?

  • Practice your skills with a project of your own.
  • Check out speech_recognition's Microphone() class.
Spoken Language Processing in Python

One last transcription

one_last_transcription = transcribe_audio("congratulations.wav")

print(one_last_transcription)

Congratlutions on finishing the Spoken Language Processing with Python course! 
You should be proud.
Now get out there and recognize some speech!
Spoken Language Processing in Python

Keep learning!

Spoken Language Processing in Python

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