A Real-Time Dual-Channel Speech Reinforcement System for Intra-Cabin Communication

Faccenda F, Squartini S, Principi E, Gabrielli L, Piazza F. A Real-Time Dual-Channel Speech Reinforcement System for Intra-Cabin Communication. J Audio Eng Soc. 2013;61(11):889-910. Available from: https://aes.org/publications/elibrary-page/?id=17070

@article{Faccenda2013_17070,
  author = {Faccenda, Francesco and Squartini, Stefano and Principi, Emanuele and Gabrielli, Leonardo and Piazza, Francesco},
  title = {{A Real-Time Dual-Channel Speech Reinforcement System for Intra-Cabin Communication}},
  journal = {Journal of the Audio Engineering Society},
  volume = {61},
  number = {11},
  pages = {889--910},
  year = {2013},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17070}
}

TY  - JOUR
TI  - A Real-Time Dual-Channel Speech Reinforcement System for Intra-Cabin Communication
AU  - Faccenda, Francesco
AU  - Squartini, Stefano
AU  - Principi, Emanuele
AU  - Gabrielli, Leonardo
AU  - Piazza, Francesco
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 61
IS  - 11
SP  - 889
EP  - 910
PY  - 2013
DA  - 2013/11/06
UR  - https://aes.org/publications/elibrary-page/?id=17070
PB  - Audio Engineering Society
LA  - en
AB  - To facilitate communications among passengers in a large vehicle, an appropriate system with microphones, loudspeakers, and amplifiers is needed. However, a signal processing algorithm is required to avoid feedback and instability. Borrowing from speech-reinforcement research, the authors use a room-modeling adaptive feedback-cancellation approach that combines the Prediction Error Method and adaptive filtering. And, by including a suppressor filter, the system can be extended to a dual-channel scenario that supports bidirectional communications, where additional feedback paths must be considered with respect to the single-channel case study. In order to achieve low latencies and real-time processing, the partitioned block frequency domain adaptive filter algorithm has been adopted. Voice-activity and double-talk detectors have been included as well. Computer simulations in various acoustic conditions have shown the effectiveness of this approach.
ER  -