![]() This cookie is set by GDPR Cookie Consent plugin. These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Improved support for very long audio files.The work Sonic Visualiser does is intrinsically processor-hungry and (often) memory-hungry, but the aim is to allow you to work with long audio files on machines with modest CPU and memory where reasonable. Sonic Visualiser 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. ![]() To be responsive, slick, and enjoyable.In this respect, Sonic Visualiser aims to resemble a consumer audio application. The user interface should be simpler to learn and to explain than the internal data structures. To facilitate ready comparisons between different kinds of data, for example by making it easy to overlay one set of data on another, or display the same data in more than one way at the same time.To provide the best available core waveform and spectrogram audio visualisations for use with substantial files of music audio data.Export audio regions and annotation layers to external 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.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.Sonic Visualiser contains features for the following: ![]() 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. ![]() Sonic Visualiser should 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 an audio file. The aim of Sonic Visualiser is be an essential tool for when want to study a musical recording rather than simply listen to it. Sonic Visualiser has reached the version 3.0 ![]()
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