ElevenLabs: Eleven v3 Conversational

Eleven v3 Conversational is ElevenLabs’ speech-synthesis edition for real-time dialogue. It takes the text of a prepared reply and returns spoken audio, with the emotional range and contextual delivery of the v3 family. The producer identifies it separately from ordinary Eleven v3 and places it in a Text to Dialogue streaming workflow. Its useful role is the voice of an assistant or interactive character whose next utterance depends on the preceding conversation.

The model supports more than 70 languages, including English, French, German, Japanese, Korean, Spanish, Portuguese and Russian. Choose the language of the written reply and a voice with an appropriate accent. For a multilingual support script, adapt the wording for natural spoken language before sending it to synthesis. The model speaks the supplied content; the reasoning that determines the reply and any interpretation of the user’s microphone input are separate stages of the application.

Audio tags provide fine-grained control of emotion and delivery. A reassuring answer, a curious question and a dramatic character reaction need different performances even when the words are short. Keep the cue close to the utterance it affects and retain enough context to explain the emotional shift. An illustrative brief can say: “Confirm the correction warmly, then explain the next step in an even, attentive voice.” The reply should remain understandable without depending on the cue to supply missing information.

In the documented dialogue WebSocket workflow, the application sends text and receives Base64-encoded audio chunks while the connection stays open across lines. The producer buffers enough text for a coherent speech segment; very short fragments may wait until more context arrives or the buffer is deliberately flushed. Turn boundaries can reset prosody, while a change of speaker marks a new turn. These characteristics guide how to prepare complete phrases rather than isolated words for an interactive response.

The shared dialogue guide documents optional alignment information on audio chunks when requested and available. Alignment can help relate the speech to its text, but it is not a promise that a prescribed utterance will have one fixed duration. Select the producer output format for playback or file collection; its shared TTS format family includes MP3 and PCM, with telephony encodings available in the relevant workflow. A dialogue connection and a full prerecorded speech request are different modes, so their preparation and timing assumptions should stay distinct.

For pronunciation, expand ambiguous abbreviations and write numbers in the intended spoken form when the meaning would otherwise be unclear. Keep names and recurring terminology consistent. Do not transfer the v4 model’s native IPA syntax or the ordinary v3 request ceiling solely because the family name is similar. Choose the voice for the conversational role, then review a representative line for clarity and emotional fit before continuing the script.

For a practical assistant response, use one main thought, a clear result and a natural ending that lets the user respond. For example: “Acknowledge the new delivery address, repeat the street name clearly and ask whether the user wants the saved address changed.” For a character, keep the established persona while making the reaction fit the current scene. Break long explanations at meaningful sentence boundaries and preserve the preceding conversational context. The deliverable is spoken audio for the supplied reply, not a transcript of the caller or an independently generated decision.