156 lines
5.2 KiB
Markdown
156 lines
5.2 KiB
Markdown
# qwentts.cpp
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Local AI text-to-speech with named speakers, voice cloning and voice
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design, powered by GGML. C++17 port of Qwen3-TTS 12 Hz (Qwen team,
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Alibaba). 11 languages with Mandarin dialects, 24 kHz mono output,
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runs on CPU, CUDA, Metal, Vulkan.
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## Features
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- Named speakers from the CustomVoice checkpoints, with per-speaker
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Mandarin dialect overrides (eric -> sichuan, dylan -> beijing)
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- Zero shot voice cloning from a reference clip, x-vector only or
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in-context with a matching transcript
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- Voice design from a free text attribute instruction (gender, age,
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pitch, style)
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- Streaming synthesis : autoregressive frame loop with chunked codec
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decode over a rolling left context, low latency chunk callback API
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- Two stage generation : the Talker LM emits the semantic codebook, a
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code predictor MTP head emits the 15 acoustic codes per frame, both
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KV cached
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- Seedable Philox PRNG and an HF aligned sampling chain
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(repetition penalty -> temperature -> top-k -> top-p -> multinomial)
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- Q8_0 and Q4_K_M quantisation of the Qwen3 talker backbone (0.6B and
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1.7B), the RVQ codec paths kept at F32
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- Two CLI tools : `qwen-tts` (text -> WAV) and `qwen-codec`
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(WAV <-> RVQ codes)
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## Build
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```
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git clone --recurse-submodules https://github.com/ServeurpersoCom/qwentts.cpp.git
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cd qwentts.cpp
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./buildcuda.sh # NVIDIA GPU
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./buildvulkan.sh # AMD/Intel GPU (Vulkan)
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./buildcpu.sh # CPU only
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./buildall.sh # all backends, runtime DL loading
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NVCC_CCBIN=g++-13 ./buildcuda.sh # rolling release distros (Arch w/ GCC 16, etc.)
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```
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## Model conversion
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Pre-converted GGUFs are available on Hugging Face :
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https://huggingface.co/Serveurperso/Qwen3-TTS-GGUF
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Drop them in `models/` and skip to the quick start. To convert from
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the original checkpoints :
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```
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./checkpoints.sh # hf download Qwen/Qwen3-TTS-12Hz-* -> checkpoints/
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./convert.py # F32 GGUFs (one talker per mode/size + tokenizer) -> models/
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./quantize.sh # BF16 / Q8_0 / Q4_K_M ; RVQ codebooks and projections stay F32
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```
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Two GGUFs load together : a talker
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(`qwen-talker-{size}-{mode}-{variant}.gguf`, LM plus code predictor MTP
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head plus optional speaker encoder) and a shared tokenizer
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(`qwen-tokenizer-12hz-{variant}.gguf`, SEANet + ConvNeXt + DAC v2 +
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RVQ). Modes are `base`, `customvoice` and `voicedesign` ; sizes are
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0.6B and 1.7B (voicedesign is 1.7B only).
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## Quick start
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Each block is the command run by the matching script in `examples/`.
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Default voice (`base.sh`) :
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```
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./build/qwen-tts \
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--model models/qwen-talker-1.7b-base-Q8_0.gguf \
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--codec models/qwen-tokenizer-12hz-Q8_0.gguf \
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--lang English -o out.wav < prompt.txt
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```
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Voice cloning (`clone.sh`, Base, reference WAV plus its transcript) :
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```
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./build/qwen-tts \
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--model models/qwen-talker-1.7b-base-Q8_0.gguf \
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--codec models/qwen-tokenizer-12hz-Q8_0.gguf \
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--ref-wav ref.wav --ref-text ref.txt \
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--lang English -o out.wav < prompt.txt
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```
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Named speaker (`customvoice.sh`, CustomVoice) :
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```
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./build/qwen-tts \
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--model models/qwen-talker-1.7b-customvoice-Q8_0.gguf \
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--codec models/qwen-tokenizer-12hz-Q8_0.gguf \
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--speaker vivian \
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--lang English -o out.wav < prompt.txt
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```
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Speakers : serena, vivian, uncle_fu, ryan, aiden, ono_anna, sohee,
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eric (sichuan dialect), dylan (beijing dialect).
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Voice design (`tts.sh`, VoiceDesign, attribute instruction) :
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```
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./build/qwen-tts \
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--model models/qwen-talker-1.7b-voicedesign-Q8_0.gguf \
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--codec models/qwen-tokenizer-12hz-Q8_0.gguf \
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--instruct "male, young adult, moderate pitch" \
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--lang English -o out.wav < prompt.txt
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```
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## Embedding the library
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The CLI tools are thin wrappers over a public ABI. Single-header,
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single-name-prefix, plain C linkage so that C, C++, Python ctypes,
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Rust bindgen and Go cgo all consume it the same way.
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```c
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#include "qwen.h"
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struct qt_init_params iparams;
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qt_init_default_params(&iparams);
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iparams.talker_path = "models/qwen-talker-1.7b-base-Q8_0.gguf";
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iparams.codec_path = "models/qwen-tokenizer-12hz-Q8_0.gguf";
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struct qt_context * q = qt_init(&iparams);
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struct qt_tts_params params;
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qt_tts_default_params(¶ms);
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params.text = "Hello world.";
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params.lang = "English";
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struct qt_audio audio = { 0 };
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qt_synthesize(q, ¶ms, &audio);
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/* audio.samples, audio.n_samples, audio.sample_rate, audio.channels */
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qt_audio_free(&audio);
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qt_free(q);
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```
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`tests/abi-c.c` is built with `-std=c99 -Wall -Werror -pedantic` on
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every build (the `test-abi-c` target), so any regression that breaks
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plain C consumability fails the build, not just an opt-in target.
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For a binding-friendly shared library (libqwen.so / .dll / .dylib),
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configure with `cmake -DQWEN_SHARED=ON ...`. The shared target exports
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only the `qt_*` symbols ; every internal `pipeline_*` and `backend_*`
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stays hidden inside the .so. The static `libqwen-core.a` is the default
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build artefact and the one the bundled CLI tools link against.
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See [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) for the model, the
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GGUF layout, the inference pipeline, every CLI flag, the public API
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reference and the validation results.
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## License
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MIT. See [LICENSE](LICENSE).
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Upstream model : Qwen3-TTS by Alibaba / Qwen team, Apache 2.0.
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Audio codec : Qwen3-TTS-Tokenizer-12Hz (Qwen team), Apache 2.0.
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