Title :
Acoustic recurrent neural networks echo cancellers
Author :
Coelho, Pedro H G ; Neto, Luiz Biondi
Author_Institution :
State Univ. of Rio de Janerio, Rio de Janeiro, Brazil
Abstract :
This paper presents an acoustic echo canceller using recurrent neural networks techniques. The simulation results are based on the echo return loss enhancement (ERLE). Performance index indicate that the proposed echo canceller has a good performance and compares favorably with other proposed neural acoustic echo canceller schemes.
Keywords :
adaptive filters; echo suppression; feedback; matched filters; recurrent neural nets; acoustic echo canceller; echo return loss enhancement; performance index; recurrent neural networks techniques; Acoustic devices; Acoustic noise; Convergence; Echo cancellers; Electronic mail; Loudspeakers; Microphones; Noise cancellation; Recurrent neural networks; Signal generators;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223854
