Text-to-Speech (TTS)
What is Text-to-Speech (TTS)?
In the artificial intelligence industry, Text-to-Speech (TTS) is a subfield that focuses on creating systems which can read digital text aloud in a natural and human-like voice. This technology leverages advancements in machine learning, linguistic analysis, and speech synthesis to generate speech that is not only intelligible but also expressive. TTS systems are trained on large datasets of human speech and text to understand the nuances of language, tone, and pronunciation. These systems are used in a wide range of applications, from virtual assistants and customer service bots to accessibility tools for individuals with visual impairments or reading disabilities. The goal of TTS technology is to create a seamless and natural user experience, making digital content more accessible and engaging.
Text-to-Speech (TTS) is a technology that converts written text into spoken voice output.
Examples
- Virtual Assistants: Apple's Siri and Amazon's Alexa use TTS technology to respond to user queries in a human-like voice, enhancing user interaction and accessibility.
- Accessibility Tools: Screen readers like JAWS and NVDA utilize TTS to help visually impaired users navigate digital content by reading out text displayed on the screen.
Additional Information
- TTS technology often includes customizable voice options, allowing users to select different languages, accents, and genders.
- Recent advancements in deep learning have significantly improved the naturalness and expressiveness of TTS systems, making them more effective in various applications.