Audio speech source separation and enhancement in an automotive scenario using different microphone configurations

Maver F, Foscarin D, Balsarri D, Menescardi L, Buccoli M, Pecorino S, Grosso A. Audio speech source separation and enhancement in an automotive scenario using different microphone configurations. In: AES 2024 International Conference on Automotive Audio. Audio Engineering Society; 2024. Paper 14. Available from: https://aes.org/publications/elibrary-page/?id=22622

@inproceedings{Maver2024_22622,
  author = {Maver, Federico and Foscarin, Daniele and Balsarri, Davide and Menescardi, Luca and Buccoli, Michele and Pecorino, Simone and Grosso, Antonio},
  title = {{Audio speech source separation and enhancement in an automotive scenario using different microphone configurations}},
  booktitle = {AES 2024 International Conference on Automotive Audio},
  note = {Paper 14},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22622}
}

TY  - CPAPER
TI  - Audio speech source separation and enhancement in an automotive scenario using different microphone configurations
AU  - Maver, Federico
AU  - Foscarin, Daniele
AU  - Balsarri, Davide
AU  - Menescardi, Luca
AU  - Buccoli, Michele
AU  - Pecorino, Simone
AU  - Grosso, Antonio
T2  - AES 2024 International Conference on Automotive Audio
M1  - Paper 14
PY  - 2024
DA  - 2024/06/17
UR  - https://aes.org/publications/elibrary-page/?id=22622
PB  - Audio Engineering Society
LA  - en
AB  - Personalized sound zones technology is a groundbreaking solution for enhancing the travel experience in consumer vehicles. By creating acoustically separated areas within the car interior, this technology allows for novel use cases, such as robust individual interaction with a voice assistant for the driver and simultaneous high-quality private voice calls for passengers. Personalized sound zones require two components: source separation at voice capture and personalized audio reproduction. This paper focuses on source separation, by analyzing how microphone types and positioning affect the starting conditions for the task and presenting a solution that improves the separation and enhancement performance for any microphone type
ER  -