ElevenLabs v3 (Alpha) is a foundational audio model designed for high-fidelity text-to-speech (TTS) and vocal performance. Released as a research preview, the model moves beyond traditional synthesis by focusing on emotional realism and contextual nuance. It is built on a new architecture that incorporates latent diffusion models to predict sound patterns and capture the rhythmic flow of natural speech.
A central feature of the v3 alpha is the introduction of inline audio tags, which allow users to guide the model's delivery using non-verbal cues. By embedding tags such as [whispers], [laughs], [sighs], or [angry] directly into the text, the model can adjust its emotional tone, pacing, and intensity mid-sentence. Additionally, the model supports a multi-speaker dialogue mode, enabling the generation of complex conversations with natural timing and transitions between multiple distinct voices.
The model significantly expands its global reach, providing support for over 70 languages and covering approximately 90% of the world's population. While ElevenLabs v3 offers greater expressiveness than previous versions like v2.5, it is noted for requiring more precise prompt engineering to achieve optimal results during its alpha phase. It is primarily used for creative applications such as audiobooks, gaming, and film production where complex character performances are required.