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Hume's Voice Control lets you sculpt AI voices with sliders

Published Reach 31

Hume AI just rolled out Voice Control in beta for its Empathic Voice Interface 2 (EVI 2), bypassing clunky text prompts and risky voice cloning with 10 continuous perceptual sliders. Developers can tweak traits like confidence, nasality, and assertiveness in real time to generate unique, reproducible brand voices. Extreme parameter settings are still being fine-tuned.

Hume's Voice Control lets you sculpt AI voices with sliders
Image: x.com

Finding the right voice for an AI product usually comes down to an annoying trade-off. You either stick with the same generic preset voices that every other company uses, try your luck describing vague tones in a text prompt, or dive into voice cloning and take on all the legal, ethical, and quality headaches that come with it.

Hume AI introduced a completely different approach called Voice Control, an experimental beta feature built for its Empathic Voice Interface 2 (EVI 2). Instead of cloning someone or relying on words, it gives you a clean dashboard of sliders to sculpt synthetic voices from scratch.

10 sliders instead of vague prompts

Hume’s premise is straightforward: human voice perception is far too nuanced for language. You instantly recognize your friend's voice in a crowded room, but good luck describing the exact acoustic qualities to someone else. Typing "confident yet relaxed" into a prompt box rarely gives you what is in your head.

Voice Control turns that subtlety into 10 continuous dimensions. The controls include masculine/feminine, assertiveness, buoyancy, confidence, enthusiasm, nasality, relaxedness, smoothness, tepidity, and tightness. Each attribute runs on a scale from -100 to 100, with 0 keeping the base voice untouched.

Technically, Hume pulled off an unsupervised approach to disentangle these vocal traits. In real human speech, qualities like volume, tension, and pitch bleed into one another. Here, adjusting one slider doesn't accidentally warp the rest, making custom profiles consistent across long conversations. The company does note, however, that extreme slider combinations may still suffer from occasional quality hiccups during the beta.

Why it matters

We think this is one of the smartest product decisions in voice AI recently. While the rest of the industry has been racing to build hyper-realistic voice cloning tools, they have also created a minefield of copyright disputes, consent issues, and deepfake concerns. By giving creators fine-grained sliders over purely synthetic base voices, Hume delivers customization without cloning real people.

For builders and brand designers, this is an immediate win. If you are designing an AI companion, customer service agent, or NPC, you can dial in a distinct vocal identity in minutes through a no-code playground, preview it in real time, and deploy it straight through the EVI configuration without playing a prompt lottery.

It also puts pressure on major speech model providers who still lock users into half a dozen rigid presets. The obvious hurdle for Hume will be ironing out edge-case distortions when multiple sliders hit their limits. But if you need an interactive voice that sounds distinct without infringing on anyone's vocal likeness, this tool is well worth testing today.

Sources (2)

  1. [1]
    twitter.com(opens in a new tab)Originaltwitter.com
  2. [2]
    hume.ai(opens in a new tab)Reporthume.ai

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