I wanted to bring The Main Thread Podcast back, and recording the episodes myself has a few practical problems. I do my job from home, and I don’t have access to a quiet studio. The kids come in and out, there’s noise in the house, and getting a long, uninterrupted recording is a challenge.
Reading a transcript also changes how I sound. It’s different from freely explaining something to another developer. So my main motivation was to put the time into writing a script and developing a narrative that’s easy to follow, then have a text-to-speech model read it in my voice.
I didn’t want to go with a paid provider either. I had tried training my voice on a provider’s platform, and the samples sounded flat to me. So I started trying local models on my MacBook. Those experiments eventually led to training a local voice adapter of my own.
The target was an article of around three thousand five hundred words, which should become roughly twenty to twenty-five minutes of audio. That’s a long time to listen to a voice that keeps stopping in strange places. It also means the model has to get through technical names, longer explanations, and changes between paragraphs without sounding like a different person halfway through.
