TTS output

TTS output (Text-to-Speech output) is synthesized audio generated from written text using artificial intelligence models that convert linguistic input into natural-sounding human speech. This process involves multiple stages: text analysis and preprocessing, phonetic transcription, prosody prediction for rhythm and intonation, and final audio synthesis through neural vocoders or concatenative methods. Modern TTS systems employ deep learning architectures like Tacotron, WaveNet, and neural vocoders to produce high-quality, expressive speech with natural cadence, emotion, and speaker characteristics. TTS output quality is measured by naturalness, intelligibility, and prosodic accuracy. Advanced systems support multiple voices, languages, speaking styles, and real-time generation. For AI agents, TTS output enables voice interfaces, accessibility features, multilingual communication, and hands-free interaction. Applications include virtual assistants, audiobook generation, customer service automation, and assistive technologies for visually impaired users.