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WO. HY. Nam, T. Lee, SA. CH. Ko, Y. Son, HY. KW. Chung, K. Kim, J. Kim, S. Hwang, and K. Lee, "AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework," Paper 10525, (2021 October.). doi: WO. HY. Nam, T. Lee, SA. CH. Ko, Y. Son, HY. KW. Chung, K. Kim, J. Kim, S. Hwang, and K. Lee, "AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework," Paper 10525, (2021 October.). doi:
Abstract: Recently, people who prefer to consume media contents via over the top (OTT) platform, such as YouTube, Netflix etc., rather than a conventional broadcasting get increased more and more. To deliver an immersive audio experience to them more effectively, we propose a unified framework for AI-based 3D immersive audio codec. In this framework, to maximize the original immersiveness even at a down-mixed audio, while enabling to precisely reproduce the original 3D audio from the down-mixed audio, content-adaptive dynamic down-mixing and up-mixing scheme is newly proposed. The experimental results show that the proposed framework can render more improved down-mixed audio compared to the conventional method as well as successfully reproduce the original 3D audio.

@article{nam2021ai,
author={nam, woo hyun and lee, tammy and ko, sang chul and son, yoonjae and chung, hyun kwon and kim, kyung-rae and kim, jungkyu and hwang, sunghee and lee, kyunggeun},
journal={journal of the audio engineering society},
title={ai 3d immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},} @article{nam2021ai,
author={nam, woo hyun and lee, tammy and ko, sang chul and son, yoonjae and chung, hyun kwon and kim, kyung-rae and kim, jungkyu and hwang, sunghee and lee, kyunggeun},
journal={journal of the audio engineering society},
title={ai 3d immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework},
year={2021},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={recently, people who prefer to consume media contents via over the top (ott) platform, such as youtube, netflix etc., rather than a conventional broadcasting get increased more and more. to deliver an immersive audio experience to them more effectively, we propose a unified framework for ai-based 3d immersive audio codec. in this framework, to maximize the original immersiveness even at a down-mixed audio, while enabling to precisely reproduce the original 3d audio from the down-mixed audio, content-adaptive dynamic down-mixing and up-mixing scheme is newly proposed. the experimental results show that the proposed framework can render more improved down-mixed audio compared to the conventional method as well as successfully reproduce the original 3d audio.},}

TY - paper
TI - AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework
SP - EP -
AU - Nam, Woo Hyun
AU - Lee, Tammy
AU - Ko, Sang Chul
AU - Son, Yoonjae
AU - Chung, Hyun Kwon
AU - Kim, Kyung-Rae
AU - Kim, Jungkyu
AU - Hwang, Sunghee
AU - Lee, Kyunggeun
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021 TY - paper
TI - AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework
SP - EP -
AU - Nam, Woo Hyun
AU - Lee, Tammy
AU - Ko, Sang Chul
AU - Son, Yoonjae
AU - Chung, Hyun Kwon
AU - Kim, Kyung-Rae
AU - Kim, Jungkyu
AU - Hwang, Sunghee
AU - Lee, Kyunggeun
PY - 2021
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2021
AB - Recently, people who prefer to consume media contents via over the top (OTT) platform, such as YouTube, Netflix etc., rather than a conventional broadcasting get increased more and more. To deliver an immersive audio experience to them more effectively, we propose a unified framework for AI-based 3D immersive audio codec. In this framework, to maximize the original immersiveness even at a down-mixed audio, while enabling to precisely reproduce the original 3D audio from the down-mixed audio, content-adaptive dynamic down-mixing and up-mixing scheme is newly proposed. The experimental results show that the proposed framework can render more improved down-mixed audio compared to the conventional method as well as successfully reproduce the original 3D audio.