3/10/2023 0 Comments Sonic visualiser db negativeNew classification criteria and EDI parameters were proposed to extract the blue whale B call vocalization (BWBCV) characteristics. The source is a type of B call with a time duration of 46.65 s, from which 59 analysis samples with a time duration of 180 ms were taken. The blue whale sound sources were obtained from the website of the Scripps Whale Acoustics Lab of the University of California, San Diego, USA. ![]() The extraction algorithm included six steps: EMD, energy analysis, marginal frequency (MF) analysis with EDI parameters, feature extraction (FE), classification, and Hilbert spectrum (HS) analysis. A high-resolution marginal frequency characteristics extraction method, based on EMD with energy density intensity (EDI) parameters for blue B call vocalizations, was proposed. There seems to be no appreciable CPU hit for leaving the Window Overlap set to its highest setting.This study extracts the energy characteristic distributions of the intrinsic mode functions (IMFs) and residue functions (RF) for a blue whale sound signal, with empirical mode decomposition (EMD) as the basic theoretical framework. The Window Overlap setting blurs or sharpens the blobs.Try it both ways and see what you prefer. You can further focus the fundamentals by changing the normalization on the "Scale" line, but that can also add puddles of blue to other parts of your spectrogram while de-emphasizing the fundamentals. A value of 16384 focuses the fundamentals to a width of only a few Hz while still allowing for reasonably acceptable scrolling motion during playback on my 6th gen Core i3. Larger values make the blobs skinnier for greater accuracy, but at the expense of CPU usage. The value of the Window size changes the level of focus for the spectrogram.You can watch the value change in the status bar on the bottom edge of the window. Click the dial and drag straight up to rotate it clockwise, or down for counter-clockwise. Firstly, on Tab "3", change the amplitude range to 20dB by messing with the dial on the right edge of the "Sunset" color drop-down.To the right of the spectrogram are the property boxes, where you can further tweak the behavior of your spectrogram. The wheels can be hidden or revealed through the View menu, or by hitting Z on the keyboard. You can drag the spectrograph up to reveal lower ranges, and play with the vertical roller control until you get the range the way you like it. ![]() For analyzing bass response, I like to set the vertical range from roughly 10 Hz to 200 Hz. Incidentally, rolling the mouse wheel also changes the X axis, and you can double-click the wheels or the vertical range slider to enter values manually. The vertical wheel increases and decreases the frequency range on the Y axis, while the horizontal wheel changes the measures per inch, expanding and contracting the X axis. There are zoom controls in the lower right corner of the spectrogram. With an audio file loaded, you'll see the waveform pane and the melodic range spectrogram pane. You can load an audio file through the File menu, through the second toolbar button, or by dragging and dropping a file onto the window. ![]() Hit OK, and close and reopen the application for the settings to take effect. Before dismissing Preferences, go to the "Other" tab and uncheck "Show splash screen on startup" for faster loading. This template is a good starting point for creating your own template. Select "Waveform and Melodic Range Spectrogram", and hit Apply. After downloading the software and installing, you're ready to start making spectrograms immediately, although I'll suggest a few settings tweaks to make your spectrograms more easily readable.īefore loading up an audio track, go to the File menu -> Preferences.
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