1. Learn
    2. /
  2. Courses
    3. /
  3. Spoken Language Processing in Python

Exercise

Preparing audio files for text classification

Acme are very impressed with your work so far. So they've sent over two more folders of audio files.

One folder is called pre_purchase and contains audio snippets from customers who are pre-purchase, like pre_purchase_audio_25.mp3.

And the other is called post_purchase and contains audio snippets from customers who have made a purchase (post-purchase), like post_purchase_audio_27.mp3.

Upon inspecting the files you find there's about 50 in each and they're in the .mp3 format.

Acme want to know if you can build a classifier to classify future calls. You tell them you sure can.

So in this exercise, you'll go through each folder and convert the audio files to .wav format using convert_to_wav() so you can transcribe them.

Instructions

100 XP
  • Convert the files in pre_purchase to .wav using convert_to_wav().
  • Convert the files in post_purchase to .wav using convert_to_wav().