diff --git a/.gitignore b/.gitignore
index df109b8..1a5cae0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -13,6 +13,7 @@ venv/
 *.safetensors
 models/
 weights/
+ckpts/
 
 # Audio I/O scratch
 *.wav
@@ -33,3 +34,6 @@ media-files/video/*.mp4
 # Compressed exports of demucs stems — keep committed for review without
 # local playback (the raw separated/*.wav stems stay local, per *.wav above)
 !demucs/*.mp3
+
+# Small public-domain demo evidence clip for the auk voice-editing demo
+!auk/*.wav
diff --git a/README.md b/README.md
index f2637a1..db266ab 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,9 @@ Audio processing demos: WhisperX, Demucs, and TTS technology proofs-of-concept.
 
 - `whisperx/` — speech-to-text with word-level alignment and diarization
 - `demucs/` — source separation (vocals/instrumentals stem splitting)
-- `tts/` — text-to-speech service demos
+- `tts/` — text-to-speech service demos (voice cloning via MOSS-TTS)
+- `auk/` — voice *editing* demos (emotion/pitch/speed/content editing on existing recordings,
+  as opposed to `tts/`'s clone-and-generate approach)
 
 Each subdirectory has its own README with setup and run instructions.
 
diff --git a/auk/README.md b/auk/README.md
new file mode 100644
index 0000000..e9d27ff
--- /dev/null
+++ b/auk/README.md
@@ -0,0 +1,67 @@
+# auk
+
+Voice-*editing* demos using [AuK](https://github.com/Tencent-Hunyuan/AuK) (Tencent-Hunyuan) — a
+1.5B foundation model for speech generation **and editing**. Unlike MOSS-TTS's `instruction`
+field (steers style at generation time, from a reference clip), AuK edits an *existing*
+recording directly: same speaker, same words, same duration, different delivery. It also does
+content editing (rewrite/insert/remove words), pitch/speed/volume editing, de-accenting, and
+speech enhancement/separation — all through one natural-language instruction interface.
+
+## Demo
+
+`emotion_edit_demo.py` takes the same public-domain narrator clip used by the whisperx/tts demos
+(`tts/reference/narrator_ref_en.wav`, 11.7s, isolated via demucs) and edits its emotion to
+"excited" while preserving the voice, words, and exact duration.
+
+### Setup
+
+AuK is vendored outside this repo (large third-party project, editable install), same pattern as
+MOSS-TTS:
+
+```bash
+git clone https://github.com/Tencent-Hunyuan/AuK.git /path/to/vendor/AuK
+python3 -m venv .venv && . .venv/bin/activate
+pip install -e /path/to/vendor/AuK
+
+# Two runtime deps AuK needs but doesn't declare (see Gotchas):
+pip install audioread "huggingface_hub<1.0,>=0.34.0"
+
+# Model weights (~17GB total)
+pip install -U "huggingface_hub[cli]"
+hf download tencent/AuK --local-dir ./ckpts/AuK
+hf download Qwen/Qwen2.5-Omni-3B --local-dir ./ckpts/Qwen2.5-Omni-3B
+```
+
+### Running
+
+```bash
+python3 emotion_edit_demo.py
+```
+
+Output goes to `narrator_excited.wav` (24kHz mono, ~11.7s — exact source duration preserved).
+
+## Gotchas found running this on an RTX 3090
+
+- **`qwen_omni_utils` needs `audioread`, but nothing declares it as a dependency** — same class
+  of packaging gap as demucs's missing `numpy` earlier in this repo. Install it explicitly or
+  the first real inference call fails with `ModuleNotFoundError: No module named 'audioread'`
+  (model loading itself succeeds first, so this only surfaces once generation actually starts).
+- **`pip install "huggingface_hub[cli]"` breaks `transformers`** — it pulls `huggingface_hub`
+  2.x-style 1.31.0, but `transformers` (installed as an AuK dependency) requires `<1.0`. Only
+  needed transiently to fetch the weights; downgrade back to `<1.0,>=0.34.0` before running
+  inference, or install the CLI in a separate throwaway environment.
+- **`--cpu_offload` is not optional on a 24GB card** — AuK's own documented VRAM figures
+  (24.78–25.00GiB *without* offload) exceed the RTX 3090's 24GB entirely, even dedicating the
+  whole card. Always pass `--cpu_offload` (or `cpu_offload=True` in the Python API).
+- **Real practical length limit is much shorter than it looks: ~25–30s, not 5 minutes.** AuK's
+  ComfyUI docs mention a "30-second source/reference-plus-target budget" as if it were a
+  ComfyUI-specific constraint — it isn't. A 25s clip worked fine even with `--cpu_offload`; an
+  80s clip OOM'd (tried to allocate another 8.9GB mid-attention on top of the ~17GB already in
+  use) because attention memory scales fast with sequence length. Editing a full multi-minute
+  podcast take means chunking it into ≤~25s segments and concatenating, not a single pass —
+  worth planning for prosody continuity across chunk boundaries.
+- **Default checkpoint path** baked into `auk-infer`/`AukInfer` points at wherever you cloned
+  the vendor repo, not this directory — always pass `--ckpt`/`--qwen_path` (CLI) or
+  `config_path`/`ckpt_path`/`qwen_path` (Python API) explicitly.
+- **Output is 24kHz mono**, notably lower fidelity than MOSS-TTS's 48kHz stereo output — worth
+  factoring in if AuK-edited audio needs to sit alongside MOSS-TTS output in the same pipeline.
diff --git a/auk/emotion_edit_demo.py b/auk/emotion_edit_demo.py
new file mode 100644
index 0000000..14c3eeb
--- /dev/null
+++ b/auk/emotion_edit_demo.py
@@ -0,0 +1,47 @@
+"""
+Voice-editing demo using Tencent's AuK (https://github.com/Tencent-Hunyuan/AuK).
+
+Unlike MOSS-TTS's `instruction` field (steers style at generation time),
+AuK edits emotion on an *existing* recording directly - same speaker, same
+words, same duration, different delivery. Demonstrates on the public-domain
+narrator clip already used by the whisperx/tts demos.
+
+Run from the auk/ directory with its .venv activated.
+"""
+
+from pathlib import Path
+
+from auk.infer.infer_auk import AukInfer, save_audio
+
+HERE = Path(__file__).parent
+CONFIG = HERE / "ckpts" / "AuK" / "config.yaml"
+CKPT = HERE / "ckpts" / "AuK" / "auk_base.safetensors"
+QWEN_PATH = HERE / "ckpts" / "Qwen2.5-Omni-3B"
+INPUT_AUDIO = HERE.parent / "tts" / "reference" / "narrator_ref_en.wav"
+OUTPUT_PATH = HERE / "narrator_excited.wav"
+
+INSTRUCTION = "Change the emotion to excited."
+
+
+def main() -> None:
+    engine = AukInfer(
+        str(CONFIG), str(CKPT), qwen_path=str(QWEN_PATH), cpu_offload=True
+    )
+
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": INSTRUCTION},
+                {"type": "audio", "audio": str(INPUT_AUDIO)},
+            ],
+        }
+    ]
+
+    audio, sr = engine.generate(messages)
+    save_audio(audio, sr, str(OUTPUT_PATH))
+    print(f"[INFO] Saved {OUTPUT_PATH}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/auk/narrator_excited.wav b/auk/narrator_excited.wav
new file mode 100644
index 0000000..8d15c43
Binary files /dev/null and b/auk/narrator_excited.wav differ