Applying emotional tags to Eleven v4 audio generation
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The Eleven v4 model focuses on interpreting emotional intent, such as dramatic or comedic delivery, through specific instructions embedded directly in the text. Creators can experiment with inline tags like [laughs], [said angrily in French accent], or [phone buzzing] to direct the model’s emotional output. This method of prompting aims to bridge the gap between simple text-to-speech and nuanced character performance.
For workflows requiring low latency, such as conversational agents, the Turbo variant is optimized to maintain these emotive capabilities while reducing the time to first speech. Testing these models involves verifying how consistently they adhere to specific phoneme pronunciations using International Phonetic Alphabet (IPA) support, which provides a technical pathway for refining character speech in longer-form projects.
Source: ElevenLabs