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Sonic Visualiser is an application for viewing and analysing the contents of music audio files. Sonic Visualiser is an open-source audio analysis and annotation utility that displays the waveform of a music file, enabling you to get an insight of what is behind the output sound. It aims to provide a user-friendly tool for displaying spectograms and audio waveforms, ensuring compatibility with some of the most common audio formats (such as WAV, MP3, AIFF, AVR, FLAC, OGG, RAW), as well as less popular file types (AU, CAF, HTK, IFF, MAR, MPC, PVR, RF64, SDS, W64, WVE, XI). Moreover, it enables you to import musical note data from locally stored MIDI files and display it alongside the waveform.

Sonic Visualiser is the program you need when you find a musical recording you want to study rather than simply hear. Sonic Visualiser is a software for viewing and analysing the contents of audio files, developed for Pentium4 and AMD64 processors only.

Sonic Visualiser enables you to explore and get close-ups on the structure of an audio file, providing advanced annotation options to help you write down your findings.

Sonic Visualiser contains features for the following:

* Load audio files in WAV, Ogg and MP3 formats, and view their waveforms.
* Look at audio visualisations such as spectrogram views, with interactive adjustment of display parameters.
* Annotate audio data by adding labelled time points and defining segments, point values and curves.
* Overlay annotations on top of one another with aligned scales, and overlay annotations on top of waveform or spectrogram views.
* View the same data at multiple time resolutions simultaneously (for close-up and overview).
* Run feature-extraction plugins to calculate annotations automatically, using algorithms such as beat trackers, pitch detectors and so on.
* Import annotation layers from various text file formats.
* Import note data from MIDI files, view it alongside other frequency scales, and play it with the original audio.
* Play back the audio plus synthesised annotations, taking care to synchronise playback with display.
* Select areas of interest, optionally snapping to nearby feature locations, and audition individual and comparative selections in seamless loops.
* 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.
* Export audio regions and annotation layers to external files.

The design goals for Sonic Visualiser are:

* To provide the best available core waveform and spectrogram audio visualisations for use with substantial files of music audio data.
* 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 be straightforward. The user interface should be simpler to learn and to explain than the internal data structures. In this respect, Sonic Visualiser aims to resemble a consumer audio application.
* To be responsive, slick, and enjoyable. 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 is pervasively multithreaded, loves multiprocessor and multicore systems, and can make good use of fast processors with plenty of memory.
* To handle large data sets. 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. (Disk space is another matter. Sonic Visualiser eats that.)