TTS models
Welcome! I am really excited to explore the world of Text-to-Speech (TTS) models with you. Before we dive into the technology, I would love to hear a bit about your background and what brings you to this topic today.
I'm a developer planning a project that uses voice synthesis.
That's awesome! Designing for voice synthesis is a highly rewarding space right now, and understanding the core machinery will help you make much better architectural decisions for your app.
Your path
Key Components of Modern TTS
Training and Evolution of TTS
Applications and Future of TTS
The Essence of Text-to-Speech
To kick things off, let's look at the absolute baseline: what actually happens during Text-to-Speech (TTS)?
At its core, TTS is the technology that converts written text into spoken audio. But as a developer, the key distinction you need to make is how this differs from simply playing back a pre-recorded audio file.
When you use pre-recorded audio (like an narrator or a voice actor's snippets), the system is rigid. It can only play exactly what was recorded. If you want to change a single word, you have to send the actor back into the studio.
Modern TTS, on the other hand, is a system of dynamic generation. It synthesizes entirely new audio on the fly from arbitrary text inputs, acting more like a human who is reading a sentence out loud for the very first time. It parses grammar, analyzes punctuation, and dynamically calculates the duration, pitch, and rhythm of each syllable to construct a brand-new waveform.