aMuseMe: When Small Models Compose a Visual Symphony
Dev.to / 6/16/2026
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Key Points
- aMuseMe generates a complete, stylized lyric video automatically from an input audio file, avoiding manual keyframing and editing work.
- The system uses a pipeline idea of four stages—word-level listening/timestamping, lyrics-to-display-line layout, background illustration, and 30fps HD rendering—implemented entirely locally within a 32B parameter budget.
- The first stage (“Listener”) relies on faster-whisper (Whisper large-v3, ~1.55B) to extract precise word-level timestamps so each word highlights at the exact sung moment.
- Achieving accurate timestamps on music (not clean speech) required tuning, including using condition_on_previous_text to improve accuracy while employing VAD with aggressive thresholds to prevent hallucinated lyrics during instrumental breaks.
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