HTS (HMM-based Speech Synthesis System)

HTS, or HMM-based Speech Synthesis System, is a technology that uses statistical models called Hidden Markov Models (HMMs) to generate human-like speech from text. It analyzes recorded speech to learn the patterns and characteristics of voice sounds. When given text, HTS synthesizes speech by piecing together these learned patterns, resulting in natural-sounding spoken language. This system is often used in applications like virtual assistants, navigational aids, and other text-to-speech technologies, making it easier for machines to communicate with people in a more understandable way.