Abstract
In acoustic echo cancellation, a certain level of residual echo resides in the output of the linear echo canceller because of the nonlinearity of the power amplifier, loudspeaker, and acoustic transfer function in addition to the estimation error of the linear echo canceller. The residual echo in the current frame is correlated not only to the linear echo estimates for the harmonically-related frequency bins in the current frame, but also with linear echo estimates, residual echo estimates, and microphone signals in adjacent frames. In this paper, we propose a residual echo suppression scheme considering harmonic distortion and temporal correlation in the short-time Fourier transform domain. To exploit residual echo estimates and microphone signals in past frames without the adverse effect of the near-end speech and noise, we adopt a double-talk detector which is tuned to have a low false rejection rate of double-talks. Experimental results show that the proposed method outperformed the conventional approach in terms of the echo return loss enhancement during single-talk periods and the perceptual evaluation of speech quality scores during double-talk periods.
Highlights
Acoustic echo caused by acoustic coupling among microphones and loudspeakers is one of the most important issues in many applications of audio and speech signal processing such as speech communication [1], speech recognition [2], and hearing aids [3,4]
The residual echo is always left in the output signal of the Acoustic echo cancellation (AEC), due to the nonlinearity arising from the power amps, loudspeakers, nonlinear echo path, and imperfect AEC
We propose an extension of harmonic distortion RES (HDRES) [28] which considers the harmonic distortion and the temporal correlation of the relevant signals
Summary
Acoustic echo caused by acoustic coupling among microphones and loudspeakers is one of the most important issues in many applications of audio and speech signal processing such as speech communication [1], speech recognition [2], and hearing aids [3,4]. Many AEC approaches employ linear adaptive filters in the time, frequency, or subband domain to predict and cancel out acoustic echoes based on far-end signals [5,9,13]. AES algorithms analogous to speech enhancement techniques that estimates spectral gain functions such as Wiener filtering have been proposed, and demonstrated an impressive performance with low computational complexity [18,19,20] Another class of approach is placing a separate module after the linear echo canceller to clean up the residual echo left after the linear AEC or AES, which is called residual echo suppression (RES) [22,23,24,25,26,27,28]. A DTD is adopted to take account of residual echo estimates and microphone signals in the past frames without the adverse effect of the near-end speech and noise
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
