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feat: complete audio speaker separation feature with 3 workflows
Implement comprehensive audio processing system with speaker separation, extraction, and denoising capabilities. All 85 tasks completed across 6 phases with full test coverage and documentation. Features: - Speaker Separation: Auto-detect and separate multi-speaker audio - Speaker Extraction: Extract specific speaker using reference clip - Voice Denoising: Remove silence and background noise with VAD Implementation: - 3 core services with pyannote.audio and Silero VAD integration - AudioConcatenationUtility with equal power crossfade - CLI commands: separate, extract-speaker, denoise - Gradio web UI tabs for all workflows - Comprehensive error handling and validation - Memory optimization for 2+ hour files - Processing metadata logging with resource tracking Technical: - Models: pyannote/speaker-diarization-3.1, wespeaker embeddings, Silero VAD - Audio I/O: FFmpeg integration for M4A/WAV conversion - Quality: Equal power crossfade, zero-crossing detection - Performance: Processing ≤…cb39c05