

It is pervasively multithreaded, loves multiprocessor and multicore systems, and can make good use of fast processors with plenty of memory. Even if you have to wait for your results to be calculated, you should be able to do something else with the audio data while you wait.
#Sonic visualiser v2.5 plus#
Playback the audio plus synthesized annotations, taking care to synchronize 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 labeled time points and defining segments, point values, and curves.Look at audio visualizations such as spectrogram views, with interactive adjustment of display parameters.

#Sonic visualiser v2.5 license#
Sonic Visualiser is Free Software, distributed under the GNU General Public License (v2 or later) and available for Linux, macOS, and Windows.

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. Export audio regions and annotation layers to external files.Sonic Visualiser is an application for viewing and analyzing the contents of music audio files.Time-stretch playback, slowing right down or speeding up to a tiny fraction or huge multiple of the original speed while retaining a synchronised display.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. Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on.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. Sonic Visualiser is a tool that you can use to study a musical recording.
