![]() Select areas of interest, optionally snapping to nearby feature locations, and audition individual and comparative selections in seamless loops.Play back the audio plus synthesised annotations, taking care to synchronise playback with display.Import note data from MIDI files, view it alongside other frequency scales, and play it with the original audio. Import annotation layers from various text file formats.Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on.View the same data at multiple time resolutions simultaneously (for close-up and overview).Overlay annotations on top of one another with aligned scales, and overlay annotations on top of waveform or spectrogram views.Annotate audio data by adding labelled time points and defining segments, point values and curves.Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters.Load audio files in WAV, Ogg and MP3 formats, and view their waveforms.For others, it provides a very interesting look at what lies inside an audio file. It could be useful to musicologists, archivists, signal-processing researchers. As you scroll through one pane, the other panes move accordingly (at different speeds depending on their zoom levels) to remain aligned at the centre.Sonic Visualiser is a tool that you can use to study a musical recording. The three panes in this window are at quite different zoom levels the green overview at the bottom shows three rectangles corresponding to the regions shown in each of the three panes above. Sonic Visualiser 0.9 showing a waveform, beat locations detected by a Vamp plugin, an onset likelihood curve, a spectrogram with instantaneous frequency estimates and a "harmonic cursor" showing the relative locations of higher harmonics of a frequency, a waveform mapped to dB scale, and an amplitude measure shown using a colour shading. Here we see a log-frequency spectrogram and a waveform of part of Bob Dylan's "Don't Think Twice, It's All Right". The Russian translation is included in the standard program and should be used automatically if your locale is set appropriately. Sonic Visualiser 1.0 in Russian – translation thanks to the hard work of Alexandre Prokoudine. The spectrogram pane below it shows estimated instantaneous frequencies for peak FFT bins. The waveform pane at the top is overlaid with a spectral centroid calculation (the coloured shading), the outputs of two note onset detection Vamp plugins (red and black vertical lines – neither of them seems to work very well on this sort of music) and the onset likelihood function from a third onset detection plugin (the blue curve). (In fact the whole final movement is loaded and may be scrolled through – see the green overview at the bottom of the window.) Sonic Visualiser 1.0 showing about a minute of the final movement of Mahler's 9th symphony, performed by the Czech Philharmonic under Vaclav Neumann. The notes from the tracker are played using a piano sample, configured in the plugin dialog visible. Overlaid on the spectrogram is a note layer, showing the output of a note-tracker Vamp plugin that is being evaluated. (The music is "After the Pain" by Carlos Pino.) Sonic Visualiser 1.0 showing a waveform pane and a melodic range spectrogram pane. Sonic Visualiser 3.0, running on Windows, showing a waveform, a melodic range spectrogram, and a key analysis carried out by a Vamp plugin. It was developed at the Centre for Digital Music at Queen Mary, University of London. Sonic Visualiser is Free Software, distributed under the GNU General Public License (v2 or later) and available for Linux, OS/X, and Windows. We hope Sonic Visualiser will be of particular interest to musicologists, archivists, signal-processing researchers and anyone else looking for a friendly way to take a look at what lies inside the audio file. The aim of Sonic Visualiser is to be the first program you reach for when want to study a musical recording rather than simply listen to it. Sonic Visualiser is an application for viewing and analysing the contents of music audio files.
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