A study published in the journal Information Sciences introduces a novel framework for speech emotion recognition using dual-channel spectrograms and optimized deep features. Their proposed ...

Abstract: For the task of speech separation, previous study usually treats multi-channel and single-channel scenarios as two research tracks with specialized solutions developed respectively. Instead, ...

For the task of speech separation, previous study usually treats multi-channel and single-channel scenarios as two research tracks with specialized solutions developed respectively. Instead, we ...

Automatic detection of major depressive disorder (MDD) with multiple-channel electroencephalography (EEG) signals is of great significance for treatment of the mental diseases. In a U-net network, ...

We incorporate effective components of the TasNet into a freq-domain separation method. We introduce a solution for directly optimizing the separation criterion in freq-domain networks. Our exp ...

We incorporate effective components of the TasNet into a freq-domain separation method. We introduce a solution for directly optimizing the separation criterion in freq-domain networks. Our exp ...

The spectrogram of bird sounds represents the intensity of the sound signal by different colors or gray values, which contains the time–frequency feature of bird sounds. In the spectrogram, bird ...