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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.
Author (s): Nam, Woo Hyun; Lee, Tammy; Ko, Sang Chul; Son, Yoonjae; Chung, Hyun Kwon; Kim, Kyung-Rae; Kim, Jungkyu; Hwang, Sunghee; Lee, Kyunggeun
Affiliation:
Samsung Research, Samsung Electronics, Seoul, Republic of Korea
(See document for exact affiliation information.)
AES Convention: 151
Paper Number:10525
Publication Date:
2021-10-06
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Session subject:
Multichannel and spatial audio processing and applications
Permalink: https://aes2.org/publications/elibrary-page/?id=21489
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Nam, Woo Hyun; Lee, Tammy; Ko, Sang Chul; Son, Yoonjae; Chung, Hyun Kwon; Kim, Kyung-Rae; Kim, Jungkyu; Hwang, Sunghee; Lee, Kyunggeun; 2021; AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework [PDF]; Samsung Research, Samsung Electronics, Seoul, Republic of Korea; Paper 10525; Available from: https://aes2.org/publications/elibrary-page/?id=21489
Nam, Woo Hyun; Lee, Tammy; Ko, Sang Chul; Son, Yoonjae; Chung, Hyun Kwon; Kim, Kyung-Rae; Kim, Jungkyu; Hwang, Sunghee; Lee, Kyunggeun; AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework [PDF]; Samsung Research, Samsung Electronics, Seoul, Republic of Korea; Paper 10525; 2021 Available: https://aes2.org/publications/elibrary-page/?id=21489
@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},
number={10525},
month={october},}
TY – paper
TI – AI 3D immersive audio codec based on content-adaptive dynamic down-mixing and up-mixing framework
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
VL – 10525
Y1 – October 2021