Perceptually Motivated Low Complexity Acoustic Echo Control
In hands-free two-way communications systems, the loudspeaker signal feeds back to the microphone, resulting in an undesired echo signal component in the microphone signal. Acoustic echo cancelers (AEC) model the echo path and subtract an estimate of the echo signal from the microphone signal to remove the undesired echo. We present a novel scheme which estimates the echo signal in terms of its spectral envelope. The time and frequency resolution with which this estimation is carried out is chosen according to perceptual criteria. Given the estimated spectral envelope of the echo signal component, speech enhancement and noise suppression algorithms are used to suppress the echo. The presented scheme has low complexity and a high degree of robustness.
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