DeepMind has announced Gemini 3.1 Flash TTS, a new text-to-speech audio model that represents the next generation of AI-generated speech. The model introduces granular audio tags that allow users to exercise precise control over how AI-generated speech sounds. This advancement enables more expressive and nuanced audio generation compared to previous text-to-speech systems.
The introduction of granular audio tags addresses a longstanding limitation in AI speech synthesis: the lack of fine-grained control over vocal expression. Traditional text-to-speech systems often produce speech that sounds flat or robotic, with limited ability to convey emotion, emphasis, or subtle variations in tone. By giving developers and creators the ability to direct specific aspects of speech generation through detailed tags, Gemini 3.1 Flash TTS solves the problem of creating more natural, contextually appropriate audio that can match the intended mood and style of content.
This development has significant implications for content creators, accessibility tools, and interactive applications that rely on synthetic speech. Developers building voice assistants, audiobook narrators, or educational platforms will be able to create more engaging and human-like audio experiences. The enhanced expressiveness could make AI-generated speech more suitable for applications where emotional nuance and tonal variation are essential to user experience.
