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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.
The test determines the amount of echo suppression by the echo canceler alone without the postfilter applied to suppress the residual echo.
Recently, our previous approach in [10] presented the novel acoustic echo suppression (AES) algorithm based on soft decision without the help of the AEC and an additional residual echo suppression (RES), which conventional methods substantially need [10].
However, acoustic echo suppression is often also used as a post-filtering method after AEC [10 15].
Additionally, an augmented feature technique is adopted to use additional knowledge derived from conventional noise and acoustic echo suppression techniques when designing the DNN architecture in our algorithm.
Not only did it win the 2007 CES Design and Engineering award, but it comes loaded with features like dual microphones, echo suppression, upgradeable firmware, and seven hours talk/180 hours standby time.
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Their performance improvement compared to conventional signal processing methods in many applications such as ultrasonic flaw detection and noise suppression, echo separation and echo estimation, and ultrasonic imaging is investigated.
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.
This is followed by Section 4.6, in which the residual echo and noise suppression scheme for attenuating different kinds of interferences at the output of the combiner will be considered.
Notice that a better echo and noise suppression rule through G ̃ ( i, k ) is formulated to apply higher attenuation using (1 -p(H0|Y i, k))) consisting of echo or noise (or both) alone while preserving the quality of the near-end speech.
To see the performance of the conventional integrated algorithm for comparison, we also evaluated the performance of the conventional acoustic echo and noise suppression algorithm by Gustafsson et al. [3],a which is a serial algorithm on the basis of a time-domain AEC and an additional noise and residual echo reduction filter.
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