An automatic mixing system for teleconferencing

Liu X, Reiss JD, Mourgela A. An automatic mixing system for teleconferencing. In: AES Convention 153. Audio Engineering Society; 2022. Paper 24. Available from: https://aes.org/publications/elibrary-page/?id=21905

@inproceedings{Liu2022_21905,
  author = {Liu, Xiaojing and Reiss, Joshua D. and Mourgela, Angeliki},
  title = {{An automatic mixing system for teleconferencing}},
  booktitle = {AES Convention 153},
  note = {Paper 24},
  year = {2022},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21905}
}

TY  - CPAPER
TI  - An automatic mixing system for teleconferencing
AU  - Liu, Xiaojing
AU  - Reiss, Joshua D.
AU  - Mourgela, Angeliki
T2  - AES Convention 153
M1  - Paper 24
PY  - 2022
DA  - 2022/10/06
UR  - https://aes.org/publications/elibrary-page/?id=21905
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes an automatic mixing system for improving audio quality in teleconferencing applications. The work was focused on applying audio effects such as multitrack level balancing, spatialization, and equalization in order to reduce speech masking, thus allowing simultaneous speakers to be heard in a teleconference. The system used the ITU-R BS.1770 loudness measurement method and cross-adaptive audio effects to achieve average level balancing. A novel Force-directed model was implemented to automatically set the virtual position of each source. The equalization method was based on spectral decomposition techniques and a target of equal average perceptual loudness in each frequency band. Subjective evaluation was performed in the form of a multi-stimulus listening test, which indicated that the proposed automatic mixing system could compete with a manual mix by an experienced sound engineer.
ER  -