3588d3fa14
Completely rewrites the Whisper-based pause point refinement to use a two-phase approach with explicit ordering: Phase 1 - Individual refinement: 1. Check if pause point is "during speaking" (words within ±2s) - If NOT during speaking → use Gemini's exact point, no overlap 2. If during speaking, find nearest sentence boundary 3. Apply appropriate buffering based on context: - Case A: First sentence → pause 500ms before sentence starts - Case B: Last sentence → pause 500ms after sentence ends - Case C: Between sentences → full double buffer (overlap) Phase 2 - Consolidation (after all refinements): - Consolidate cues within 5s of each other to play back-to-back Key changes: - Add SentenceBoundary dataclass for tracking boundaries with context - Add _is_during_speaking() helper to detect speech proximity - Add _find_sentence_boundaries() with longest-gap fallback - Rewrite snap_pause_point() with new ordered algorithm - Update refine_all_pause_points() to pass words and use two phases 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| __pycache__ | ||
| api/v1 | ||
| core | ||
| lib | ||
| middleware | ||
| migrations | ||
| models | ||
| prompts | ||
| schemas | ||
| services | ||
| tasks | ||
| telemetry | ||
| main.py | ||