docs(architecture): add system blueprint for voice-cloning translation platform#1
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…n platform A comprehensive architecture blueprint describing the end-to-end voice-cloning translation platform, including real-time and batch data/control flows, performance targets, resilience strategies, and OSS references. ### Summary Introduce a comprehensive system architecture blueprint describing the end-to-end voice-cloning translation platform, including real-time and batch data/control flows, performance targets, resilience strategies, and OSS references. ### Details - Added docs/architecture/system-blueprint.md detailing components: source separation, ASR, translation, voice cloning/TTS, orchestration, APIs, storage, and infrastructure - Included data/control-flow diagrams for real-time (<2s) and batch processing paths using Mermaid - Specified low-latency goals (<2s) and high-throughput targets (1000+ streams, 100+ batch jobs) - Outlined resilience strategies: failover, retries, circuit breakers, checkpointing, graceful degradation - Document notes on security, monitoring, and deployment considerations - References chosen OSS frameworks: PyTorch, Hugging Face, FFmpeg, librosa
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Summary
Introduce a comprehensive system architecture blueprint describing the end-to-end voice-cloning translation platform, including real-time and batch data/control flows, performance targets, resilience strategies, and OSS references.
Details
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