Recent research projects have attempted to realize high realism of reproduced sound fields. We propose an innovative method, an automatic scene discrimination, for a user-centric rendering of enhanced realism in the home theater application. The method categorizes various scenes of movie contents based on their audio characteristics, and applies a pre-determined signal processing for each category in real-time. The training model was able to classified new movie contents with a 71% correct ratio. Listeners reported that this scene-based adaptive sound processing bring higher realism.
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