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Monaural singing voice separation has aroused considerable attention. Many pitch-based methods have been proposed to address this task, but generally have limited performance. The most crucial difficulties lie in the inaccurate judgment on voiced pitches and the failed recognition on unvoiced singing sounds. In this paper, we propose a novel algorithm based on the latent component analysis of time-frequency...
The paper presents an investigation into a genetic algorithm based time-frequency approach for extracting features from the electroencephalogram (EEG) recorded from subjects performing a four-class self-paced movement task, left and right shoulder movement together with left and right foot movement. The objective is to predict left and right movements and accelerate the communication in a brain-computer...
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