|Name||Tags||Managed by||Created on||Updated on|
A C++ library for audio analysis, developed in the Centre for Digital Music, originally by Christian Landone.
|c++, stable, gpl, dsp, feature extraction, mir||2010-12-01||2011-01-25|
A set of Vamp audio analysis plugins developed at the Centre for Digital Music.
|c++, stable, beat track, vamp, windows, osx, linux, gpl, visualization, feature extraction, mir, tempo, chroma||2010-12-01||2015-09-09|
A batch tool for feature extraction and annotation of audio files using Vamp plugins.
|c++, vamp, isophonics, omras2, windows, osx, linux, feature extraction, mir, host, batch||2010-07-23||2015-04-14|
The Sonic Visualiser application. Requires the SV Libraries code (svcore, svgui and svapp).
|c++, stable, vamp, isophonics, ladspa, windows, osx, linux, qt, gpl, spectral, visualization, mir, host, audio, waveform||Alo Allik, Chris Cannam, Dan Stowell, Lucas Thompson, Mathieu Barthet||2010-07-23||2018-10-01|
A set of simple SVG icons for Sonic Visualiser and related applications.
An experimental build of Sonic Visualiser with MPEG IMAF file format support.
Platform builds of third-party libraries that Sonic Visualiser depends on
Aggregate data and charts from Sonic Visualiser user surveys.
The Sonic Visualiser website.
This matlab code can be used to perform structural segmentation of multitrack audio. It was used to generate the results described in the following research paper:
|mir, matlab, segmentation, multitrack||2012-09-30||2012-09-30|
An implementation of the SIA and SIATEC algorithms which operate on symbolic music data expressed as RDF
|java, rdf, mir, sia, siatec, semantic web||2012-12-29||2013-09-27|
Converts MIDI data to RDF, using an ontology based on the SIA and SIATEC data model (see references)
|rdf, midi, conversion||2014-02-06||2014-02-06|
CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation ...
|c++, feature extraction, mir, library, framework||2011-01-09||2013-06-21|
An implementation of the SIA and SIATEC algorithms which operate on symbolic music data expressed as RDF. Uses OWLIM and Sesame as triple store and reasoner.
|java, rdf, mir, owl, owlim, sesame, pattern, discovery||2013-07-11||2013-09-27|
The Audio Degradation Toolbox (ADT) consists of Matlab code for the controlled degradation of audio signals, and for the adaptation of ground-truth to the degraded audio. Its main purpose is to test the robustness of audio analysis methods against certain classes of degradations of the audio quality ...
|dsp, mir, audio||2013-07-17||2014-06-17|
This code performs automatic music transcription using an efficient version of the Multi-Source Shift-Invariant Probabilistic Latent Component Analysis model. Optional GPU processing considerably improves speed (works faster than real ...
|mir, matlab, transcription, multi-pitch, automatic music transcription||Emmanouil Benetos, Srikanth Cherla, Tillman Weyde||2013-08-08||2015-08-13|
Code provided to allow the reproduction of the results reported in the paper "Analysing Scattering-Based Music Content Analysis Systems: Where's the Music?" by Francisco Rodríguez-Algarra, Bob L. Sturm and Hugo Maruri ...
|mir, matlab, Scattering, ISMIR2016||2016-05-23||2016-05-23|
Source code accompanying the paper "Characterising Confounding Effects in Music Classification Experiments through Interventions", as well as the updated index for the GTZAN genre collection.
|mir, evaluation, GTZAN, MGR, Confounding, Interventions||2019-06-29||2019-06-29|
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