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.
https://www.aes.org/e-lib/browse.cfm?elib=17070
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!
