Neural Text-to-Speech (Neural TTS) uses deep learning models to convert text into highly natural, expressive, and human-like speech. Compared with traditional TTS systems, Neural TTS produces more realistic pronunciation, intonation, and emotion.
Voice AI platforms use Neural TTS for customer support, AI receptionists, virtual assistants, accessibility, and multilingual voice applications. It significantly improves voice quality and user experience.