Eleven v3 - An AI text-to-speech model launched by ElevenLabs

What is Eleven v3?

Eleven v3 is an advanced text-to-speech model from ElevenLabs. It achieves precise control over emotion and intonation through inline audio tags, supports multi-speaker dialogues, and makes conversations more natural. The model supports over 70 languages, has strong text comprehension capabilities, and accurately grasps stress and rhythm. It is suitable for media and film dubbing, audiobook production, game development, and education, providing a vivid and realistic sound experience.

Main features of Eleven v3

• Emotional and tone controlUsers can precisely control the emotion and tone of voice through inline audio tags. For example, tags such as "laughs," "whispers," and "sarcastic" can be used to express different emotions and tones. Sound effect tags such as "gunshot" and "applause" can be added, and special tags such as "strongXaccent" and "sings" can be used for creative applications.
• Multi-speaker dialogueEleven v3 supports dialogues with up to 32 different speakers, simulating natural characteristics such as tone changes, emotional fluctuations, and even interruptions in real conversations, making multi-person dialogue scenarios more realistic and natural.
• Language supportThe model supports more than 70 languages, which is a wider range of languages than the previous version and can meet the usage needs of more language environments.
• Text comprehension abilityEleven v3 has significantly enhanced text understanding capabilities, enabling it to understand text semantics more deeply and generate more natural and expressive speech.

The technical principles of Eleven v3

• A brand new model architectureEleven v3 employs a completely new model architecture, enabling a deeper understanding of text semantics and context. Compared to previous versions, it better captures the emotion, rhythm, and intent within the text, generating more engaging speech.
• Audio tagging functionEleven v3 introduces an audio tagging feature, allowing users to precisely control the emotional expression and nonverbal responses of speech by inserting specific tags (such as whispers, angry, laughs, etc.) into the text. These tags are divided into emotional expression tags, sound effect tags, and special tags, used to add ambient sounds and creative effects.
• Automatic labeling functionEleven v3 introduces an automatic tagging feature. Users can simply click the "Enhance" button, and the model will automatically add sentiment tags based on the text content, further simplifying the creation process.
• Stability sliderUsers can control how closely the generated sound resembles the original reference audio using the "stability slider". The three options are Creative (more emotional and expressive, but prone to creating illusions), Natural (balanced and neutral, closest to the original recording), and Robust (highly stable, but slower to respond to directional cues).

How to use Eleven v3

• Register an accountVisit the official website of ElevenLabs, register and log in to your account.
• Select ModelFind the Eleven v3 (alpha) model in the platform and select to use it.
• Select soundEleven v3 offers 22 excellent voice actors, allowing users to choose the appropriate voice according to their needs. For example:
  • JamesHer voice is husky and charming, perfect for storytelling.
  • Priyanka SogamNeutral accent, suitable for late-night radio programs.
  • JessicaYoung and playful, suitable for conversations about trending topics.
• Upload reference audioUsers can upload a reference audio clip and use the "stability slider" to control how closely the generated sound resembles the original reference audio. There are three different levels of similarity:
  • CreativeThey are more emotional and expressive, but prone to hallucinations.
  • NaturalBalanced and neutral, closest to the original recording.
  • RobustHighly stable, but slow to respond to directional cues.
• Controlling emotional expressionEleven v3 introduced the ability to control emotions through audio tags, which are divided into three categories:
  • Emotional expression tags:like[laughs](laugh),[whispers](whisper),[sarcastic](Irony), etc., are used to express different emotions and tones.
  • Sound effects tags:like[gunshot](Gunshot)[applause](applause),[swallows](Sounds of swallowing, etc.) are used to add ambient sounds and effects.
  • Special tags:like[strong X accent](Emphasizing a certain accent)[sings](Sing),[fart](Farting sound, etc.) are used in creative applications.
• Precautions
  • Prompt word lengthShort prompts are more likely to cause inconsistent output; it is recommended that the text characters exceed 250.
  • Tag combinationYou can combine multiple audio tags to achieve complex emotional expressions. Experiment with different combinations to find the style that best suits your voice.
  • Sound matching: Ensure the labels align with vocal personality and training data. For example, a serious, professional voice is not suitable for...[giggles]or[mischievously]Playful tags.
  • Text structureText structure has a significant impact on output; natural speech flow, appropriate punctuation, and clear emotional context should be used.

Application scenarios of Eleven v3

• Media and film productionIt can be used for dubbing in movies, TV series, commercials, etc., and gives characters more vivid and realistic voices through precise emotional control and multi-character dialogue function.
• audiobooksIn the production of audiobooks, Eleven v3 can bring listeners a more immersive reading experience based on the emotional and intonation changes of the text content.
• Game developmentIn terms of character dialogue and narration in games, models can provide more natural and expressive voices, enhancing the interactivity and fun of the game.
• Education and trainingIt can be used in the education field for voice teaching, online course explanation, etc., to help students better understand and learn.