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LatestKugelaudio0-open
KugelaudioText → Speech

OpenMOSS Releases KugelAudio for European Languages

The new text-to-speech model uses a hybrid diffusion and autoregressive architecture for high-quality, multilingual synthesis.

Jan 11, 2026
UpdateOther
KugelAudio-0-open

OpenMOSS has introduced KugelAudio-0-open, a new text-to-speech (TTS) model designed to generate high-quality audio in several European languages. This release provides a new tool for researchers and developers working on multilingual voice applications.

A Hybrid Approach to Synthesis

KugelAudio employs a two-stage architecture that combines popular techniques in audio generation. First, a diffusion-based model converts input text into a mel-spectrogram, a visual representation of sound frequencies. This spectrogram is then fed into an autoregressive vocoder, which synthesizes the final audio waveform. The model was trained on an internal dataset of over 20,000 hours of multilingual audio.

The model's explicit focus on European languages addresses a notable gap in the open-source landscape. While many high-performance TTS systems excel at English, generating natural-sounding speech for languages like German, French, or Polish with the same level of quality remains a challenge. KugelAudio aims to provide a strong baseline for these and other languages.

The model is available for download from the Hugging Face Hub. It is released under the KugelAudio Research License Agreement, which restricts its use to non-commercial research purposes. This makes it a valuable resource for academic exploration rather than for direct integration into commercial products.

Sources

  • kugelaudio/kugelaudio-0-open

    Hugging Face

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OlderZhipu AI Releases Open, Bilingual GLM-Image ModelZhipu AI · Text → Image · 10 months agoNewerGoogle Releases TranslateGemma for Open TranslationGoogle DeepMind · Text / LLM · 10 months ago

Get the model

Hugging Face

Specs

Sample rate24 kHz
Languages23 languages
Size18.7 GB
PrecisionBF16
ArchitectureKugelAudioForConditionalGeneration
LicenseOTHER
Downloads2.5K
Likes216

Can you run it?

Runs on a laptop — about 10.4 GB at FP8.

  • BF16 (as published)

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    19.7 GB
  • FP8

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    10.4 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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