TTS (Text-to-Speech) is an abbreviation for a technology that converts written text into spoken words. It is a process where a computer or a device synthesizes and vocalizes text content, typically in a natural-sounding human voice format. TTS systems utilize advanced techniques from areas like linguistics, computer science, and digital signal processing to enable automated conversion of text into speech.
TTS finds applications in various domains, such as accessibility services for visually impaired individuals, language learning tools, assistive technologies, and even customer service applications. The technology can read aloud digital content like articles, web pages, e-books, emails, and documents, allowing users to listen to text-based information.
TTS engines generally rely on a three-step process to generate speech. First, a linguistic analysis is performed, which involves breaking down the text into smaller components, such as sentences, phrases, and words, while considering punctuation and sentence structure. Next, a phonetic representation is generated, representing the pronunciation of each word. Finally, the generated phonemes are combined with intonation and prosody information to create expressive and intelligible speech output.
The quality of TTS systems has significantly improved over time, and they can now produce more natural and lifelike voices. Many TTS engines offer customizable options, allowing users to adjust parameters like speed, pitch, and volume to personalize the listening experience. Moreover, advancements in machine learning and artificial intelligence are continuously enhancing the accuracy, fluency, and naturalness of TTS technology.
