Virtual Studio Production Tools with Personalized Head Related Transfer Functions for Mixing and Monitoring Dolby Atmos and Multichannel Sound

Sunder K, Jain S. Virtual Studio Production Tools with Personalized Head Related Transfer Functions for Mixing and Monitoring Dolby Atmos and Multichannel Sound. In: AES Convention 152. Audio Engineering Society; 2022. Paper 674. Available from: https://aes.org/publications/elibrary-page/?id=21735

@inproceedings{Sunder2022_21735,
  author = {Sunder, Kaushik and Jain, Sunder},
  title = {{Virtual Studio Production Tools with Personalized Head Related Transfer Functions for Mixing and Monitoring Dolby Atmos and Multichannel Sound}},
  booktitle = {AES Convention 152},
  note = {Paper 674},
  year = {2022},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21735}
}

TY  - CPAPER
TI  - Virtual Studio Production Tools with Personalized Head Related Transfer Functions for Mixing and Monitoring Dolby Atmos and Multichannel Sound
AU  - Sunder, Kaushik
AU  - Jain, Sunder
T2  - AES Convention 152
M1  - Paper 674
PY  - 2022
DA  - 2022/05/06
UR  - https://aes.org/publications/elibrary-page/?id=21735
PB  - Audio Engineering Society
LA  - en
AB  - With the increasing popularity of audiophile headphones in this decade, the need for mixing over headphones is on the rise. Studio engineers use headphones as a critical tool for checking their mixes over the headphones before publishing them. As dolby atmos music and surround sound music is currently regaining popularity, there is also an increasing need for having multi channel speaker setups and associated gear in the studio to produce music in such formats. Such systems are extremely expensive and time consuming to set up. In this engineering brief, we present virtual studio production tools for mixing and monitoring atmos and multichannel sound with personalized head-related transfer functions (HRTFs). This paper talks in detail how the acoustics of the studio, including speaker, and headphone responses are captured accurately for a truly immersive experience. The acoustic fingerprint of the studio is then integrated with the personalized HRTFs predicted using machine learning algorithms that use an ear image as an input. Such novel tools will bring the power of personalized spatial audio and dolby atmos production in hands of millions of at-home mixing engineers and producers.
ER  -