AI Audio Event Detection: How PANNs and Silero VAD Isolate Trailer Impacts

When a movie trailer is submitted to Aura Version, our creative engineering team rarely receives pristine isolated audio stems (Dialogue, Music, Foley). More often than not, we receive a flattened stereo or 5.1 composite mix. Synthesizing haptics from a flattened mix is notoriously difficult because actor dialogue and background orchestral horns will trigger false vibration bursts.

Silero VAD: Stripping Vocal Speech Masks

To guarantee that human speech never causes buzzing in the user's palms, Haptic Studio runs Silero Voice Activity Detection (VAD). Operating at sub-millisecond latency, Silero generates a binary probability mask of speech presence across the trailer timeline, automatically ducking and muting haptic synthesis during conversational moments.

PANNs: Classifying 527 Sound Event Categories

Once speech is isolated, Pre-trained Audio Neural Networks (PANNs) analyze the remaining soundscape across 527 distinct acoustic classes—identifying explosions, gunshots, sword clashes, thunderclaps, and engine revs with over 94% classification precision. Each identified sound category is mapped to its optimal haptic sharpness profile.