All Projects


NameTagsManaged byCreated onUpdated on
A C++ library for audio analysis, developed in the Centre for Digital Music, originally by Christian Landone.
c++, stable, gpl, dsp, feature extraction, mirChris Cannam2010-12-012011-01-25
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, chromaChris Cannam2010-12-012015-09-09
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, batchAlo Allik, Chris Cannam2010-07-232015-04-14
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, waveformAlo Allik, Chris Cannam, Dan Stowell, Lucas Thompson, Mathieu Barthet2010-07-232018-10-01
A set of simple SVG icons for Sonic Visualiser and related applications.
Chris Cannam2015-04-292015-08-05
An experimental build of Sonic Visualiser with MPEG IMAF file format support.
Chris Cannam, Panos Kudumakis2013-12-112013-12-13
Platform builds of third-party libraries that Sonic Visualiser depends on
Chris Cannam2013-03-132013-03-20
Aggregate data and charts from Sonic Visualiser user surveys.
surveyChris Cannam2013-04-252013-04-25
The Sonic Visualiser website.
html, websiteChris Cannam2012-07-122012-07-12
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, multitrackSteven Hargreaves2012-09-302012-09-30
An implementation of the SIA and SIATEC algorithms which operate on symbolic music data expressed as RDF
java, rdf, mir, sia, siatec, semantic webSteven Hargreaves2012-12-292013-09-27
Converts MIDI data to RDF, using an ontology based on the SIA and SIATEC data model (see references)
rdf, midi, conversionSteven Hargreaves2014-02-062014-02-06
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, frameworkChad Befus2011-01-092013-06-21
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, discoverySteven Hargreaves2013-07-112013-09-27
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, audioMatthias Mauch, Sebastian Ewert2013-07-172014-06-17
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 transcriptionEmmanouil Benetos, Srikanth Cherla, Tillman Weyde2013-08-082015-08-13
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, ISMIR2016Francisco Rodriguez-Algarra2016-05-232016-05-23
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, InterventionsFrancisco Rodriguez-Algarra2019-06-292019-06-29

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