Voice synthesis

Voice Synthesis (Text-to-Speech: TTS) is the AI-driven process: it converts written text into highly natural, human-like speech, using neural networks to replicate tone and inflection.

This is a core machine learning discipline: it synthetically generates expressive, high-fidelity audio from text input. Modern systems, like those using Google’s WaveNet architecture, moved past robotic concatenation to employ deep neural networks, directly modeling the complex acoustic waveform. This allows for nuanced control over prosody, emotion, and speaking style. Key applications are ubiquitous: powering virtual assistants (Siri, Alexa), enabling accessibility tools (screen readers), and rapidly scaling content production for audiobooks and video narration. The technology is defined by its shift to natural, contextually-aware voice output, often supporting 40+ languages and hundreds of distinct voices.

https://research.google/teams/speech-processing/