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Dictionary

Text-to-Speech (TTS)

Text-to-Speech (TTS) is a technology that converts written text into spoken words, allowing digital devices to vocalize content. It is a fundamental component of AI voice agents, screen readers, and navigation systems.

1 min readupdated 2026-08-04

/ quick answer

The process by which written text is converted into auditory speech, enabling machines to communicate verbally. This technology is critical for voice interfaces and accessibility tools. Text-to-Speech (TTS) is a technology that converts written text into spoken words, allowing digital devices to vocalize content. It is a fundamental component of AI voice agents, screen readers, and navigation systems.

Text-to-Speech (TTS) technology plays a pivotal role in bridging the gap between written content and auditory experience. By synthesizing human-like speech from text input, TTS systems enable a wide range of applications, from assisting visually impaired individuals to providing voice interfaces for smart devices. Modern TTS engines utilize deep learning models to generate natural-sounding voices with appropriate intonation, rhythm, and emotional nuances, making the synthetic speech almost indistinguishable from human speech. This capability is essential for AI voice agents to deliver clear and engaging responses, making information more accessible and interactions more intuitive across various digital platforms.
Definition
The process by which written text is converted into auditory speech, enabling machines to communicate verbally. This technology is critical for voice interfaces and accessibility tools.
Example
When a navigation app reads out directions or a smart speaker vocalizes a news headline, it is using Text-to-Speech technology to convert the written information into spoken words.
Related Workflows
/ frequently asked

How does modern TTS differ from older synthesized speech?

Older TTS often used concatenative synthesis or formant synthesis, resulting in robotic and unnatural-sounding speech. Modern TTS, powered by deep learning and neural networks, generates speech from scratch (parametric synthesis), producing highly natural, fluid, and emotionally expressive voices.

What factors affect the quality of TTS output?

The quality of TTS output is influenced by the underlying model's architecture, the size and diversity of the training data, the specific voice selected, and the input text's complexity (e.g., abbreviations, numerical formats). Advanced models can also adjust speaking rate, pitch, and emotion.

/ topics#speech-technology#voice-ai#ai-fundamentals
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