⬆️ Update mudler/magpie-tts.cpp Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Magpie TTS C++ backend
This backend runs NVIDIA's Magpie TTS Multilingual 357M GGUF through magpie-tts.cpp, a from-scratch C++/ggml port (model + NanoCodec + tokenizer + G2P dictionaries in one self-contained GGUF, no Python at inference time). It generates 22.05 kHz mono speech in 5 baked voices across 9+ languages.
The library is loaded via purego (cgo-less dlopen) exactly like
qwen3-tts-cpp / moss-tts-cpp; the flat C-API (magpie_tts_capi_*) is
exported directly by the upstream shared library, so there is no local C shim.
Model configuration
The model path points at the single GGUF:
name: magpie-tts-cpp
backend: magpie-tts-cpp
parameters:
model: magpie-tts-multilingual-357m-q8_0.gguf
known_usecases:
- tts
options:
- "speaker:Aria" # optional default voice (Aria, Jason, John, Leo, Sofia, or 0-4)
- "language:en" # optional default language
GGUFs live at mudler/magpie-tts.cpp-gguf (q8_0 recommended: near-lossless, ~624 MB, fastest decode).
Voices and languages
Magpie has 5 baked speakers - Aria, Jason, John, Leo, Sofia - and no
voice cloning. The request voice accepts the names case-insensitively or the
indices 0-4; empty selects Aria. Languages: en, es, de, fr, it,
pt-BR, hi, vi, ko, ar-AE, ar-SA, ar-MSA (case-insensitive;
default en).
API example
curl http://localhost:8080/v1/audio/speech \
-H 'Content-Type: application/json' \
-d '{
"model": "magpie-tts-cpp",
"input": "Hello world, this is a test of the text to speech system.",
"voice": "sofia",
"language": "en"
}' \
--output speech.wav
Native end-to-end test
The labeled test loads a real GGUF, synthesizes WAVs (verifying rate, layout and non-silence), and exercises the streaming path:
make -C backend/go/magpie-tts-cpp magpie-tts-cpp
MAGPIETTS_MODEL=/path/to/magpie-tts-multilingual-357m-q8_0.gguf \
MAGPIETTS_LIBRARY=backend/go/magpie-tts-cpp/libgomagpiettscpp-fallback.so \
go test ./backend/go/magpie-tts-cpp -ginkgo.label-filter=e2e
bash test.sh does the same and auto-downloads the q8_0 GGUF when
MAGPIETTS_MODEL is unset.