Text-to-Speech (TTS)
AI technology that converts written text into natural-sounding spoken audio, using neural networks to generate human-like voice patterns.
Modern Approaches
Current TTS models use neural networks to generate speech directly from text. Architectures include WaveNet, Tacotron, VITS, and more recently, transformer-based models and diffusion-based approaches that produce near-human-quality speech.
Key Features
Voice cloning (mimicking a specific person's voice from minutes of audio), emotional expression control, multilingual support, real-time streaming, and controllable speaking rate, pitch, and style.
Applications
Virtual assistants, audiobook narration, accessibility tools, video game characters, dubbing and localization, customer service IVR systems, and content creation.