feat(stt): add NVIDIA Canary STT engine support#402
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Add support for NVIDIA's Canary speech-to-text models via NeMo toolkit: - Canary 1B v2: 4.89% WER, 630x RTF (5x faster than Whisper) - Canary Qwen 2.5B: Higher accuracy variant for demanding use cases Both models use NeMo's EncDecMultiTaskModel architecture with automatic model download via HuggingFace. Supports GPU acceleration (CUDA/ROCm), translation (s2t_translation), and punctuation restoration. New files: - src/canary_engine.hpp: Engine class definition - src/canary_engine.cpp: NeMo Python integration via py_executor Modified: - models_manager.h/cpp: Add stt_canary engine type and feature flags - speech_service.cpp: Engine instantiation and type checking - CMakeLists.txt: Add canary_engine source files - config/models.json: Add both Canary model entries Requires: pip install nemo_toolkit[asr]
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Supersedes closed PR #360. GitHub would not allow reopening that PR from this account after the branch was updated.
Summary:
.nemorestore.hf://model URLs with metadata checksum validation.modelswith pinned Hub revision and checksums.Validation:
git diff --checkjqsrc/canary_engine.cpp,src/models_manager.cpp, andsrc/checksum_tools.cppQt5LinguistToolsConfig.cmake).