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Conference Paper

Movie Scene Classification Using Audio Signals in a Home-Theater System

Authors: Yuyama, Yuta; Kim, Sungyoung; Okumura, Hiraku

AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science · Paper EB1-6 · July 2018

Abstract

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.

Details

Published in
AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science
Paper number
EB1-6
Publication date
July 6, 2018
Session subject
Sound Field Reproduction; Multichannel Audio; Home Theater System; Scene Classification; Machine-Learning; SVM; Feature-Extraction
Affiliation
Yamaha Corporation, Shizuoka, Japan; Rochester Institute of Technology, Rochester, NY, USA (See document for exact affiliation information.)
Type
Conference Paper