Neural Text-to-Speech

Neural Text-to-Speech (TTS) is an advanced technology that converts written text into spoken words using artificial intelligence. Unlike traditional methods that sound robotic, neural TTS uses deep learning to create natural-sounding voices that mimic human speech patterns, intonation, and emotion. It processes large amounts of voice data, learning nuances in pronunciation and rhythm. This results in more fluid and expressive speech, making it ideal for applications like virtual assistants, audiobooks, and accessibility tools. Essentially, it enables machines to "speak" in a way that feels more human and relatable to listeners.