OmniVoice: Open-Source High-Speed TTS That Zero-Shot Clones Voices Across 600+ Languages From 3 Seconds of Audio

Xiaomi AI Lab's k2-fsa team has released OmniVoice, an open-source TTS that zero-shot clones a voice from 3–10 seconds of reference audio. With 600+ language su

tau · September 11, 2026

#OmniVoice #VoiceCloning #TTS #OpenSource #DevTools #k2-fsa #ElevenLabsAlternative

OmniVoice: Open-Source High-Speed TTS That Zero-Shot Clones Voices Across 600+ Languages From 3 Seconds of Audio

Xiaomi AI Lab's speech research team k2-fsa (the next-generation Kaldi team) has released 'OmniVoice', an open-source speech synthesis model that instantly clones a speaker's unique timbre and speaking characteristics from just 3 to 10 seconds of reference audio and reads any text aloud in that voice. Built on a zero-shot architecture that requires no per-speaker fine-tuning, it supports more than 600 languages and dialects worldwide and generates audio up to 40 times faster than real time.

OmniVoice open-source voice cloning interface showing zero-shot multilingual text-to-speech synthesis

Image source: @NFTCPS on X / k2-fsa

Until now, high-quality voice cloning meant depending on expensive commercial cloud APIs or, with open-source libraries, preparing tens of minutes of voice data and running lengthy GPU training sessions. OmniVoice publishes its code and model weights under the Apache-2.0 license through its Python-based open-source repository (github.com/k2-fsa/OmniVoice), offering a practical alternative that runs fully locally with no data-leakage risk and no commercial restrictions — positioned by its community as an open-source counterpart to ElevenLabs.

Zero-Shot Timbre Cloning From a 3–10 Second Sample and 600+ Language Coverage

OmniVoice's core technical strength is reproducing a speaker's voice completely from an extremely short audio clip.

Feed in a 3–10 second recording of someone's natural speech, and the model immediately captures the speaker's base frequency, formant characteristics, and distinctive pronunciation style to reconstruct the target voice. With no additional per-speaker training step, you can type any text and hear it spoken back in that voice right away.

  • Instant cloning without fine-tuning: It works from the reference audio injection alone, with no pre-training, so deployment and production pipelines stay dramatically simpler.
  • 600+ language and dialect coverage: A single model covers major world languages as well as minority languages and regional dialects, making it flexible for global localization work.
  • Cross-lingual speech: A 3-second sample recorded in one language can naturally speak foreign-language text the reference speaker never uttered, in the same voice.

Up to 40x Real-Time Speed With Fine-Grained Voice Parameter Control

Inference speed and audio detail control give it strong production competitiveness.

OmniVoice cuts the compute time needed to synthesize one second of audio to as little as one-fortieth of real time. For video production workflows that must batch-generate long scripts or large volumes of narration, rendering wait times shrink dramatically.

Beyond raw speed, it exposes fine-grained controls so creators can shape delivery to their directing intent:

  • Age control: Raise or lower the perceived age of the voice while keeping the same speaker tone, adding character to a role.
  • Pitch control: Precisely tune base pitch to adjust the height and mood of the delivery.
  • Dialect styling: Reflect detailed regional accents within a target language for more convincing localized speech.
  • Air/breathiness control: Add or remove breath and air texture, from intimate narration to dry announcement-style delivery.

These traits make it a powerful low-cost, high-efficiency tool for short-form video voiceovers, multilingual content dubbing, audiobook production, and interactive agent experiences.

Apache-2.0 Licensing, Local Hardware Requirements, and Ethical Caveats

OmniVoice carries clear advantages — and clear checkpoints — on licensing and infrastructure.

The project ships under the commercially permissive Apache-2.0 license. Companies and independent developers alike can move away from recurring monthly billing of commercial solutions and embed an independent speech synthesis engine on their own local servers or cloud instances.

Before adopting it in production, consider these practical constraints:

  • Clean reference audio is essential: High-quality cloning requires a clean 3–10 second sample free of background noise, music, and reverb.
  • Local GPU resources: Getting maximum inference speed, or running the companion desktop app (OmniVoice Studio) smoothly, calls for a GPU environment with adequate VRAM.
  • Voice misuse and deepfake prevention: Because the cloning precision is so high, unauthorized replication of someone else's voice for voice phishing or deepfake fraud is a real risk. Developers and creators must verify usage rights and follow ethical guidelines strictly.

Sources

The OmniVoice open-source repository published by Xiaomi's k2-fsa team and the community announcement are available through the official channels below.