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A GGUF (ggml) build of the 8 kHz vocoder-distilled MeloTTS Chinese voice, for inference with RapidSpeech.cpp (a ggml-based unified speech framework). It is the ggml sibling of the ONNX model at...
Model source
Source description
A GGUF (ggml) build of the 8 kHz vocoder-distilled MeloTTS Chinese voice, for inference with RapidSpeech.cpp (a ggml-based unified speech framework). It is the ggml sibling of the ONNX model at Luigi/vits-melo-tts-zh_en-8k — same voice, same 8 kHz output, different runtime.
Sources
1 sourceVerified Sep 21
Model artifacts
1 artifactSource excerpts
2 excerptsThis is the merged artifact: OpenVoice2 base (ZH) acoustic model + the melo8k 8 kHz student vocoder, packaged as one GGUF so RapidSpeech.cpp can synthesize end-to-end.
Built for telephony AI (the iPhO 2.0 edge IP-PBX on Jetson Nano). Phones capture and play 8 kHz mono, so a vocoder that natively outputs 8 kHz removes the resample and ~halves vocoder compute vs a 44.1 kHz model — the cost of a vocoder is per-output-sample.
The 8 kHz student is a Vocos8k distillation (ConvNeXt @ 125 Hz frame rate + iSTFT head, ~3.7 M params, PESQ-NB ≈ 2.90, MCD ≈ 10.8) of the full MeloTTS vocoder — ~10× cheaper, same voice / prosody / code-switching.
Architecture (gguf general.architecture) | openvoice2 |
| Voice | MeloTTS Chinese (ZH), zh-en code-switching |
| Output sample rate | 8 kHz mono |
| Vocoder | melo8k — Vocos8k student (ConvNeXt + iSTFT, ~3.7 M params) |
| Format | GGUF (f32 merge), ggml runtime |
| Size | ~156 MB |
| Runtime | RapidSpeech.cpp (CPU + CUDA; gen1 Jetson sm_53 supported) |
# CPU
rs-tts-offline -m openvoice2-melo8k-zh.gguf \
-t "您好,請問您要找哪一位同仁?" --lang Chinese -o out.wav --gpu false
# CUDA (e.g. Jetson Nano gen1)
rs-tts-offline -m openvoice2-melo8k-zh.gguf \
-t "您好,請稍候,我幫您轉接。" --lang Chinese -o out.wav --gpu true
Language flag matters. Pass
--lang Chinese— this voice is ZH-only. (In the ONNX/sherpa-onnx sibling the equivalent is--sid 1; the default English/speaker-0 path feeds the wrong embedding and produces silence.)
Output is 8 kHz mono PCM WAV — feed directly to a G.711 telephony leg, no resample.
| This repo (GGUF) | vits-melo-tts-zh_en-8k (ONNX) | |
|---|---|---|
| Runtime | RapidSpeech.cpp (ggml) | sherpa-onnx / ONNX Runtime |
| Role in iPhO 2.0 | ggml backup framework | ONNX primary framework |
| Output | 8 kHz mono | 8 kHz mono |
| Speaker selector | --lang Chinese | --sid 1 |
On CPU the ONNX/sherpa path is faster; RapidSpeech.cpp's advantage is the ggml CUDA backend on Jetson. Both produce the same 8 kHz voice.
melo8k student distillation and the OpenVoice2 merge were produced locally for
iPhO 2.0; the merge recipe (convert_melo8k_merge.py) lives in the RapidSpeech.cpp
fork. Base voice © MeloTTS / MyShell OpenVoice2 (MIT). This packaging is released
under MIT.
--- license: mit language: - zh - en library_name: rapidspeech.cpp pipeline_tag: text-to-speech tags: - tts - melotts - openvoice2 - gguf - ggml - rapidspeech - 8khz - telephony - jetson - edge --- # OpenVoice2 · MeloTTS ZH (8 kHz) — GGUF for RapidSpeech.cpp A **GGUF (ggml)** build of the 8 kHz vocoder-distilled MeloTTS Chinese voice, for inference with [**RapidSpeech.cpp**](https://github.com/RapidAI/RapidSpeech) (a ggml-based unified speech framework). It is the ggml sibling of the ONNX model at [**Luigi/vits-melo-tts-zh_en-8k**](https://huggingface.co/Luigi/vits-melo-tts-zh_en-8k) — same voice, same 8 kHz output, different runtime. This is the **merged** artifact: OpenVoice2 base (ZH) acoustic model + the **melo8k** 8 kHz student vocoder, packaged as one GGUF so RapidSpeech.cpp can synthesize end-to-end. ## Why 8 kHz Built for **telephony AI** (the [iPhO 2.0](https://huggingface.co/Luigi) edge IP-PBX on Jetson Nano). Phones capture and play **8 kHz mono**, so a vocoder that natively outputs 8 kHz removes the resample and **~halves vocoder compute** vs a 44.1 kHz model — the cost of a vocoder is per-output-sample. The 8 kHz student is a **Vocos8k** distillation (ConvNeXt @ 125 Hz frame rate + iSTFT head, ~3.7 M params, PESQ-NB ≈ 2.90, MCD ≈ 10.8) of the full MeloTTS vocoder — ~10× cheaper, same voice / prosody / code-switching. ## Model details | | | |---|---| | Architecture (gguf `general.architecture`) | `openvoice2` | | Voice | MeloTTS Chinese (ZH), zh-en code-switching | | Output sample rate | **8 kHz mono** | | Vocoder | melo8k — Vocos8k student (ConvNeXt + iSTFT, ~3.7 M params) | | Format | GGUF (f32 merge), ggml runtime | | Size | ~156 MB | | Runtime | RapidSpeech.cpp (CPU + CUDA; gen1 Jetson sm_53 supported) | ## Usage (RapidSpeech.cpp) ```bash # CPU rs-tts-offline -m openvoice2-melo8k-zh.gguf \ -t "您好，請問您要找哪一位同仁？" --lang Chinese -o out.wav --gpu false # CUDA (e.g. Jetson Nano gen1) rs-tts-offline -m openvoice2-melo8k-zh.gguf \ -t "您好，請稍候，我幫您轉接。" --lang Chinese -o out.wav --gpu true ``` > **Language flag matters.** Pass `--lang Chinese` — this voice is ZH-only. > (In the ONNX/sherpa-onnx sibling the equivalent is `--sid 1`; the default > English/speaker-0 path feeds the wrong embedding and produces silence.) Output is 8 kHz mono PCM WAV — feed directly to a G.711 telephony leg, no resample. ## Relationship to the ONNX model | |...
Source context: 13 downloads · 0 likes · Pipeline text-to-speech · Library rapidspeech.cpp · Repo Luigi/openvoice2-melo8k-zh-gguf