Dialogue Enhancement with MPEG-H Audio: An update on Technology and Adoption

Rieger D, Simon C, Torcoli M, Fuchs H. Dialogue Enhancement with MPEG-H Audio: An update on Technology and Adoption. In: AES Convention 154. Audio Engineering Society; 2023. Paper 84. Available from: https://aes.org/publications/elibrary-page/?id=22109

@inproceedings{Rieger2023_22109,
  author = {Rieger, Daniela and Simon, Christian and Torcoli, Matteo and Fuchs, Harald},
  title = {{Dialogue Enhancement with MPEG-H Audio: An update on Technology and Adoption}},
  booktitle = {AES Convention 154},
  note = {Paper 84},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22109}
}

TY  - CPAPER
TI  - Dialogue Enhancement with MPEG-H Audio: An update on Technology and Adoption
AU  - Rieger, Daniela
AU  - Simon, Christian
AU  - Torcoli, Matteo
AU  - Fuchs, Harald
T2  - AES Convention 154
M1  - Paper 84
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22109
PB  - Audio Engineering Society
LA  - en
AB  - Difficulties in following speech on TV due to loud background sounds are a common issue in broadcasting. Object-based audio (OBA) systems like MPEG-H Audio can solve this problem by providing a personalized speech level. Recently, international broadcasters have employed dialogue enhancement (DE) together with OBA, providing customization and improved accessibility to their audiences, e.g., during the football World Cup 2022. To also add customizable dialogues to material produced without OBA, deep neural networks (DNNs) can be applied to separate dialogues from the music and effects of the final audio mix. One of the technologies used for this is MPEG-H Dialog+, which has recently been adopted for the new “Clear Speech” service of the on-demand platform of the German public broadcaster ARD. This paper reviews the current state of DE, detailing real-world adoptions, with particular focus on the MPEG-H Audio system. The intention is to provide an up-to-date overview of successful implementations of DE solutions into production workflows as an example for further adoptions and developments.
ER  -