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 ...
# TODO: This could be improved by testing the similarity before merging and so allow for separation of co channel emissions # get the cut frequency as the inner edge, to enable to cut all traces to ...
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 ...
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, ...
Simple python module that creates spectrograms from multi channel hydrophone array data in the command line. $ cli_spectrogram --sample-rate 38400 --file-length 1 --source ./examples $ cli_spectrogram ...
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 ...
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