A novel adaptive Active Noise Control approach for headphones is presented in this work. The proposed method achieves a reduction in the perceived noise-disturbance and thus makes the presented stimuli more acceptable to the listeners. The ANC operates by extracting auditory masking thresholds based on the signal the user intends to listen to, i.e., music, and subsequently designing a time-domain parallel infinite impulse response filter bank by employing a novel system identification strategy, making the proposed method ideal for SoC implementation. A subjective listening test and an objectivemetric are utilized to assess the perceived improvement of themethod and a statistical analysis is performed on the results in order to showthe advantage of the proposedANCmethod compared to traditional approaches in terms of perceived increase in audio quality.
https://www.aes.org/e-lib/browse.cfm?elib=22393
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!
