Spoken Language Processing in Python

Intermediate Python

Introduction to Natural Language Processing in Python

Supervised Learning with scikit-learn

Learn to load, transform, and transcribe human speech from raw audio files in Python

You'll start by seeing what raw audio looks like in Python. And then finish by working through an example business use case, transcribing and classifying phone call data

You'll learn the first steps to working with speech files by converting two different audio files into soundwaves and comparing them visually

In this section, you'll learn how to use the SpeechRecognition library to easily start converting the spoken language in your audio files to text

Then you'll perform sentiment analysis using NLTK, named entity recognition using spaCy and text classification using scikit-learn on the transcribed text