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voice_audio_multi/docs/community_models/soprano_validation.md
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

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Soprano TTS Validation

Build

# Soprano-only build
cmake -B build -DCMAKE_BUILD_TYPE=Release \
  -DAUDIOCPP_MODEL_SET=custom -DAUDIOCPP_MODELS=soprano_tts
cmake --build build --target audiocpp_cli --parallel

# With Vulkan backend
cmake -B build -DCMAKE_BUILD_TYPE=Release \
  -DAUDIOCPP_MODEL_SET=custom -DAUDIOCPP_MODELS=soprano_tts \
  -DENGINE_ENABLE_VULKAN=ON
cmake --build build --target audiocpp_cli --parallel

# Build warmbench (the target is gated behind ENGINE_BUILD_WARMBENCH)
cmake -B build -DCMAKE_BUILD_TYPE=Release \
  -DAUDIOCPP_MODEL_SET=custom -DAUDIOCPP_MODELS=soprano_tts \
  -DENGINE_BUILD_WARMBENCH=ON
cmake --build build --target soprano_warm_bench --parallel

Convert the checkpoint

# Download the official checkpoint
git lfs install
git clone https://huggingface.co/ekwek/Soprano-1.1-80M models/Soprano-1.1-80M

# Convert the decoder (folds weight-norm from decoder.pth)
pip install torch numpy safetensors
python3 tools/community_models/soprano_tts/convert_soprano.py \
  --input-dir models/Soprano-1.1-80M \
  --output-dir models/soprano_pkg

Run warmbench

build/bin/soprano_warm_bench --model models/soprano_pkg --output-dir build/logs/warmbench/soprano_tts

Python reference warmbench

pip install soprano torch numpy
python3 tests/soprano_tts/soprano_python_warm_bench.py \
  --model models/Soprano-1.1-80M \
  --out-dir build/logs/warmbench/soprano_tts_py

CLI examples

# Basic inference
build/bin/audiocpp_cli --task tts --family soprano_tts \
  --model models/soprano_pkg \
  --text "Soprano is an extremely lightweight text to speech model." \
  --out soprano.wav

# With Vulkan backend
build/bin/audiocpp_cli --task tts --family soprano_tts \
  --model models/soprano_pkg \
  --backend vulkan \
  --text "Soprano runs on CPU and Vulkan backends." \
  --out soprano_vulkan.wav

# GGUF package
python3 tools/model_manager_v2.py install soprano_1_1_80m_q8_0
build/bin/audiocpp_cli --task tts --family soprano_tts \
  --model models/Soprano-1.1-80M-GGUF/soprano-1.1-80m-q8_0.gguf \
  --text "GGUF packages are standalone." --out gguf_out.wav

Performance results

CPU (compared against Python soprano package, transformers backend, temp=0.3, top_p=0.95)

Test Chars Platform Audio (s) Infer (s) RTF Speedup
short 57 Python 0.752 1.281 1.7037 \u2014
C++ 3.136 0.740 0.2360 7.22x
medium 152 Python 2.096 1.909 0.9106 \u2014
C++ 8.320 1.955 0.2350 3.87x
long 567 Python 7.424 5.773 0.7776 \u2014
C++ 16.384 4.302 0.2626 2.96x

Vulkan (AMD Radeon RX Vega)

Test Audio (s) Infer (s) RTF
short ~3.1 ~0.25 ~0.08
medium ~8.3 ~0.70 ~0.08
long ~16.4 ~1.60 ~0.10

Known limitations

  • English-only (model limitation)
  • No voice cloning
  • EOS sampling unreliable at low temperature (PyTorch vs C++ RNG difference)
  • Full composite build may OOM; use AUDIOCPP_MODEL_SET=custom
  • Vulkan decoder output shows numerical drift on AMD RX Vega (no matrix-core ops)