TY - GEN
T1 - Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller
AU - Vandermeer, Joshua
AU - Giuliani, Frank
AU - Low, Erica
AU - Thomasson, Katherine
AU - Spanias, Andreas
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7/15
Y1 - 2020/7/15
N2 - This paper provides an analysis of current advancements made in acoustic noise and echo cancellation (ANEC) and describes a real-time acoustic noise and feedback cancellation implementation that is low-cost and effective. Challenges in developing this compact mobile ANEC system included integrating a high order normalized least mean square (NLMS) adaptive algorithm with an analog synchronized twochannel interface. The paper also presents electrical and mechanical details of this small footprint ANEC prototype along with test results. The system was evaluated in terms of performance and computational complexity using objective and subjective evaluations. Metrics used to assess real-time performance included the Echo Return Loss Enhancement (ERLE), the Added Stable Gain (ASG) as well as algorithm convergence curves.
AB - This paper provides an analysis of current advancements made in acoustic noise and echo cancellation (ANEC) and describes a real-time acoustic noise and feedback cancellation implementation that is low-cost and effective. Challenges in developing this compact mobile ANEC system included integrating a high order normalized least mean square (NLMS) adaptive algorithm with an analog synchronized twochannel interface. The paper also presents electrical and mechanical details of this small footprint ANEC prototype along with test results. The system was evaluated in terms of performance and computational complexity using objective and subjective evaluations. Metrics used to assess real-time performance included the Echo Return Loss Enhancement (ERLE), the Added Stable Gain (ASG) as well as algorithm convergence curves.
UR - http://www.scopus.com/inward/record.url?scp=85099191883&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099191883&partnerID=8YFLogxK
U2 - 10.1109/IISA50023.2020.9284367
DO - 10.1109/IISA50023.2020.9284367
M3 - Conference contribution
AN - SCOPUS:85099191883
T3 - 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020
BT - 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Information, Intelligence, Systems and Applications, IISA 2020
Y2 - 15 July 2020 through 17 July 2020
ER -