Text-to-Speech (TTS)
AI technology that converts written text into natural-sounding spoken audio. Modern TTS engines produce human-like voices with emotion, emphasis, and natural pauses in 50+ languages.
Why it matters
TTS turns any written text into spoken audio, opening content to people who prefer or need to listen. It matters for accessibility, letting those with vision difficulties or reading challenges consume the same material as everyone else. Creators use it to make audio versions of articles, and busy people use it to catch up hands-free. Modern voices sound natural enough that listening feels comfortable, not robotic.
In practice
A blogger adds a 'listen to this article' button to each post. Behind it, a TTS tool converts the text into a warm, natural-sounding narration, complete with pauses at commas and periods. A commuter driving to work taps play and absorbs the whole piece without looking at the screen. The blogger reaches a new audience of listeners without recording anything themselves, all from the text they already wrote.
Related terms
AI Dubbing
Automated translation and re-voicing of audio/video content into other languages while preserving the original speaker's voice characteristics, timing, and emotional delivery.
AI Orchestration
Coordinating multiple AI models, tools, and data sources in a unified pipeline. An orchestration layer manages prompt routing, context passing, error handling, and output aggregation across different AI services.
API (Application Programming Interface)
A way for software applications to communicate with each other. AI APIs let developers integrate AI capabilities into their own applications programmatically.
Attention Mechanism
A technique that allows AI models to focus on the most relevant parts of input data when generating output. In language models, attention determines which words in a sentence are most important for understanding each other word.
Diffusion Model
A type of generative AI that creates images by gradually removing noise from a random starting point. Powers tools like Stable Diffusion, DALL-E, and Midjourney. Works by learning the reverse of a noise-adding process.
Distillation
A technique where a smaller 'student' model learns to replicate the behavior of a larger 'teacher' model. Produces compact models that retain most of the teacher's capability while being faster, cheaper, and deployable on smaller devices.