Let’s say, for some odd reason, you’re hosting a Python service that:

1. takes requests that run large computations based on a randomly generated number (a “seed”)
2. spreads work across multiple workers to handle many requests

Then, it’s likely you’ll introduce a subtle randomness bug that leads to duplicate seeds appearing. Let me explain:

With the raw data in tow, we can construct a proper TTS Dataset with the use of a few Python scripts.

Back when 2019’s Advent of Code was going on, I started a habit of what I now call phonecoding – the act of programming using a run-of-the-mill Android smartphone.

To train an AI Text-To-Speech (TTS) model, we’ll need to obtain a Labelled Dataset with two things:

1. Clean audio files, containing only the voice we’re cloning
2. The dialogue transcript (text) for each audio file

The default shell prompt (for Ubuntu 20) looks like this:

1

username@hostname:/path/to/cwd$ █