Abstract
In this paper, we propose an efficient integrated acoustic echo and noise suppression algorithm using the combined power of acoustic echo and background noise within a soft decision framework. The combined power of the acoustic echo and noise is adopted to the integrated suppression algorithm based on soft decision to address the artifacts such as the nonlinear distortion and the disturbed noise introduced from the conventional methods. Specifically, in the unified frequency domain architecture, the acoustic echo and noise signal are efficiently able to be suppressed through the acoustic echo suppression algorithm based on soft decision without the help of the additional noise reduction technique.
Highlights
Hands-free systems are widely used for safety and convenience in the mobile communication
In the conventional unified structure where the noise reduction (NR) module exists after the acoustic echo cancellation (AEC) algorithm, noise estimation can be disturbed by the AEC processing
In the unified structure where the NR algorithm is placed before the AEC algorithm, it introduces non-linear distortions on the echo signal which can disturb the identification operation [5]
Summary
Hands-free systems are widely used for safety and convenience in the mobile communication. Such an equipment introduces specific technical difficulties due to the background noise and the echoes by acoustic coupling between a loudspeaker and a microphone of this equipment [1,2]. In [6], Gustaffson et al used a single perceptually motivated weighted rule to suppress both noise and residual echo in a frequency domain. This method needs the consideration for suppression, which can not be considered realistic
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