v3 Conversational

v3 Conversational (formally known as Eleven v3 Conversational) is a low-latency, real-time speech synthesis model designed for interactive AI agents and natural dialogue. It represents a specialized iteration of the Eleven v3 architecture, optimized to provide high emotional range and contextual awareness in live, back-and-forth interactions. The model serves as the vocal foundation for applications such as customer support bots, virtual assistants, and interactive gaming characters.

A primary feature of the model is the introduction of Audio Tags, which allow for fine-grained control over vocal delivery. By embedding bracketed cues like [laughs], [whispers], [sighs], or emotional indicators like [excited] directly into the input text, users can direct the AI to perform non-verbal actions and shifts in tone. This capability is paired with a "Text-to-Dialogue" system that maintains consistent prosody and emotional continuity across multiple conversational turns, ensuring the voice agent reacts appropriately to the evolving mood of a conversation.

The model supports more than 70 languages with native-level fluency and automatic accent adaptation. While the standard Eleven v3 model is tailored for high-fidelity, long-form content like audiobooks, the Conversational variant is engineered for speed, targeting model latencies of approximately 280ms to enable fluid streaming. It also natively supports the International Phonetic Alphabet (IPA), allowing developers to specify exact pronunciations for specialized terminology or unique names.

To achieve the best results, users are encouraged to utilize strategic punctuation—such as ellipses for hesitation or dashes for interruptions—to influence the model's natural pacing. The model's performance can be further adjusted through stability and similarity settings, which balance consistent vocal characteristics with the expressive variability required for human-like performance.