Voice models

Voice models (AI speech synthesis) use deep neural networks to convert text into expressive, human-like audio, bypassing robotic, rule-based systems.

Voice models leverage advanced deep learning architectures (e.g., WaveNet, Tacotron) to analyze vast datasets of human speech, generating highly natural, expressive synthetic audio. This technology moves past robotic text-to-speech (TTS) by modeling prosody, rhythm, and emotion: it is not just reading text, it is performing it. Key applications include powering virtual assistants (Siri, Alexa), creating scalable audiobooks, and enhancing accessibility for users across over 75 languages.

https://cloud.google.com/text-to-speech