My step-by-step process using OpenAI TTS, fine-tuning, and audio processing to create natural, human-like voices
I used to spend hours recording voiceovers for e-learning content. Every time a course update came in, I had to re-record sections, and matching the tone and pacing was exhausting.
That’s when I decided to build my voice cloning AI — a system that could read any script in my voice, with natural intonation, and re-generate updates instantly.
Here’s how I pulled it off.
1. Capturing High-Quality Voice Samples
The AI will only sound as good as the data you feed it.
I recorded at least 30 minutes of clean audio, split into short sentences, and saved them as .wav files at 16-bit, 44.1kHz.
To avoid background noise:
- Recorded in a quiet room
- Used a cardioid condenser mic
- Kept a consistent distance from the microphone
I organized my dataset like this:
voice_dataset
sentence_001.wav
sentence_002.wav
...
transcript.txt