Hidden layers are now ignored when exporting an image (Dan Stowell). Text overlays are now easier to read on dark backgrounds.The CSV import dialog has been overhauled, allowing more flexible selection of purpose for each column.There is a new function to toggle all Time Rulers at once (key #).Release builds use Sord/Serd rather than Redland. Now requires Dataquay rather than using Redland directly. Simplify RDF reading and fix some bugs. Update code to build against Qt5.Bugfix for incorrect handling of FixedSampleRate outputs (Vamp SDK fix).Add discrete-curve mode for time-value layers (for curves with gaps).Easier to see results from transforms that return a single point.Bugfix for cyclical counters and switch back to navigate mode when a new session is started.Bugfix for inaccurate scale auto-align between time-value layers and others.Bugfix for very slow analysis when using Ogg or FLAC files decoded via libsndfile.Build with support for hidpi ("retina") text on OS/X.Bugfix for failure to export last instant in a time-instant layer.Bugfix for generation of wrong layer type from some CSV files.Bugfix for crash when importing very wide CSV files.Bugfix for failure to reload note layers from session file.Add unit-converter dialog, for converting between various pitch and timing units.Roundup of low-cost Studio Monitors for home recording & mixing. 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.The design goals for Sonic Visualiser are:
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