![]() New to Linux? Read our Linux for Starters series. Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS. We offer helpful and impartial information. Hundreds of in-depth reviews offering our unbiased and expert opinion on software. Each article is supplied with a legendary ratings chart helping you to make informed decisions. The largest compilation of the best free and open source software in the universe. Learn C++ with our recommended free books and free tutorials. 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 various formats (WAV/AIFF, plus Ogg and mp3 if compiled in) and view their waveforms.
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