Y. Yuyama, S. Kim, and H. Okumura, “Movie Scene Classification Using Audio Signals in a Home-Theater System,” in Proc. AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science, Jul. 2018, Paper EB1-6. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19646
Yuyama Y, Kim S, Okumura H. Movie Scene Classification Using Audio Signals in a Home-Theater System. In: AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science. Audio Engineering Society; 2018. Paper EB1-6. Available from: https://aes.org/publications/elibrary-page/?id=19646
@inproceedings{Yuyama2018_19646,
author = {Yuyama, Yuta and Kim, Sungyoung and Okumura, Hiraku},
title = {{Movie Scene Classification Using Audio Signals in a Home-Theater System}},
booktitle = {AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science},
note = {Paper EB1-6},
year = {2018},
month = jul,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19646}
}
TY - CPAPER
TI - Movie Scene Classification Using Audio Signals in a Home-Theater System
AU - Yuyama, Yuta
AU - Kim, Sungyoung
AU - Okumura, Hiraku
T2 - AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science
M1 - Paper EB1-6
PY - 2018
DA - 2018/07/06
UR - https://aes.org/publications/elibrary-page/?id=19646
PB - Audio Engineering Society
LA - en
AB - 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.
ER -