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The applications of BSS techniques include speech enhancement, robust speech recognition, analyzing EEG or fMRI signals, feature extraction, image denoising, etc. [1 3].
Our previous contribution to the REVERB challenge [12] proposed a combined system including speech enhancement, robust feature extraction, acoustic model adaptation, posterior decoding, and word hypothesis fusion of multiple ASR systems for the REVERB single-channel (1ch) ASR task.
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To tune the controller parameters, the optimization problem is formulated based on the enhancement of robust stability margin.
Power system stability enhancement via robust coordinated design of a power system stabilizer and a static VAR compensator-based stabilizer is thoroughly investigated in this paper.
Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC -based sTCSC -basedstabilizerly isvesthoroughly thinvestigated
The DAE-based speech processing was pioneered by [9], and DAEs have been applied to front-end feature enhancements in robust speech recognition [10 12, 15].
After inclusion of these enhancements a robust design method is obtained, which provides good performance even for systems with long dead time and is easy to implement.
In this paper, three shortages: full-enhancement mechanism, invariable texture extraction mechanism, and lack of robust enhancement methods, that are always neglected in some tasks based on texture-based target location for Intelligent Transportation System applications (ITS) are introduced.
The AFC is designed as a robust enhancement to the normal control based on known dynamics.
Due to the less robust enhancement layer, the max quality category of the ML schemes shows a weaker coverage.
The paper introduces an important enhancement to the robust decentralized controller design for multi input/multi output uncertain systems within the setting of the Equivalent Subsystems Method (ESM).
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