Speech model described as Nano Banana for speech. Does text-to-speech from voice descriptions, zero-shot voice cloning, word-level edits, denoising, enhancement, emotion and timbre changes, whisper conversion. Model is about 6.12 GB and released open source.
Open-source Tencent audio model that unifies speech generation, editing, enhancement and separation via natural language.
Updated EU status checked Last shown
AuK at a glance
- What is AuK?
- AuK is a model from Tencent. Open-source Tencent audio model that unifies speech generation, editing, enhancement and separation via natural language.
- Who makes AuK?
- AuK is made by Tencent.
- Does AuK work in the EU?
- Available in the EU. Described as an open-source model with downloadable weights, so it can be run anywhere; no EU-specific restriction was found, but the license was not confirmed. Last verified 14 Nov 2026.
- How much does AuK cost?
- Open source, open source. Described as open source; no pricing information found.
- Where was AuK shown?
- In 1 creator video by AI Search. Most recently by AI Search on 13 Sept 2026, at 10:27 in “New Deepseek, human genome map, Navier Stokes, GPT finance, Suno v6, YuE2: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
AuK is a foundational audio model from Tencent that combines several speech and audio tasks behind a single natural-language interface. According to its project page, it covers speech generation, content editing, paralinguistic editing, acoustic editing, enhancement, and separation.
Based on creator coverage, it supports text-to-speech from voice descriptions, zero-shot voice cloning, word-level edits, denoising, enhancement, emotion and timbre changes, and whisper conversion. The model is reported to be about 6.12 GB and released as open source.
Details such as the license, repository links, and hosted access were not available in the material reviewed, so these are left unspecified.
- Text-to-speech from natural-language voice descriptions
- Zero-shot voice cloning
- Word-level content editing of existing speech
- Paralinguistic and acoustic editing (emotion, timbre, whisper)
- Denoising, enhancement and separation
- Single natural-language instruction interface
As seen on YouTube
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