DocumentCode :
2488373
Title :
An adaptive acoustic echo cancellation without double-talk detection
Author :
Hu, Xiao ; Hu, Ai-qun ; Chen, Yong ; Zeng, Xiao-hong
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
2
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
972
Abstract :
The paper proposes a novel adaptive echo cancellation (AEC) without double talk detection (DTD) that can work stably under all operating models. This breaks through the restriction that all of the adaptive echo cancellations must have DTD currently. The novel AEC is accomplished by injecting a low-level broadband random training signal to the far-end signal before transmission into the local room, modeling adaptively the echo path by taking the training signal as the reference signal, removing the speech signal interference of the adaptive algorithm by an adaptive prediction filter (APF), and modifying the distortion of the reference signal due to the APF by a compensation filter (CPF). The computer simulations confirm the AEC without DTD can provide excellent echo cancellation effect under all operating models.
Keywords :
adaptive filters; compensation; echo; echo suppression; prediction theory; signal detection; adaptive acoustic echo cancellation; adaptive prediction filter; compensation filter; double-talk detection; low-level broadband random training signal; speech signal interference; Acoustic signal detection; Adaptive algorithm; Adaptive filters; Distortion; Echo cancellers; Finite impulse response filter; Loudspeakers; Microphones; Predictive models; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259621
Filename :
1259621
Link To Document :
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