|Name||Tags||Managed by||Created on||Updated on|
Collaborative Cross Modal Interfaces diagram editor.
|diagrams, c++, java, accessibility||2011-11-14||2012-11-02|
An Android App to access CCmI diagrams (.ccmi files) on touchscreen mobile devices.
|android, java, accessibility, cross-modal||2012-12-13||2012-12-13|
It is possible to use the CCmI Diagram Editor as a framework for creating your own diagram types. The diagrams can subsequently be used inside the editor itself, benefiting from the cross modality offered by the tool ...
|framework, library, java, accessibility||2013-01-25||2013-01-25|
A straightforward cepstral pitch- and note-tracker Vamp plugin, probably most suited to tracking singing pitch. See also Simple Cepstrum.
|note track, pitch track, vamp, cepstrum, c++||2012-07-19||2012-12-07|
This is a self contained but overly simplistic demo to show how to create a web based app or service using the cherrypy library in Python.
|web service python cherrypy||2012-11-22||2012-11-22|
This is the Python implementation of chirplet sound analysis by heterodyning, as described in the following publication:
|birdsong, spectrogram, chirplet||2013-05-14||2013-05-14|
Comparison of Analysis and Synthesis recovery for sparse signals
|sparsity, analysis sparsity, recovery||2012-02-27||2012-02-27|
This project holds all of the matlab code and audio to data to reproduce the results found in the paper 'Using delay estimation to reduce comb filtering of arbitrary musical sources'.
A MATLAB reference implementation of a computationally efficient method for computing the constant-Q transform (CQT) of a time-domain signal.
|matlab, cqt, constantq||2013-05-17||2013-05-17|
Just one little Python script that converts a comma-separated file to binary HTK format, then outputs to stdout. Done in my spare time on the weekends. I found it incredible that this does not seem to exist yet in Python ...
Matlab version of Dynamic Programming Beat Tracker submitted to MIREX and implemented as a VAMP plugin for Sonic Visualiser
Code for time-frequency analysis by the Distribution Derivative Method, by Sašo Muševič
|matlab, reassignment, spectrogram||2013-05-09||2013-05-09|
Simple vuvuzela-removal plugin built to illustrate a piece about the 2010 World Cup. Very unexceptional from a DSP point of view, but perhaps a useful example for an FFT ...
|vst, isophonics, osx, noisereduction, linux, plugin, windows, ladspa, c++||2011-05-19||2011-05-23|
A simple implementation of digram models in common lisp.
|statistical models, lisp||2012-02-02||2012-02-02|
Alternating Descent algorithm for Off-grid DOA estimation under sparsity constraints
Analyses drum timing variations
Front-end application developed by the EASAIER project in 2008 for access and retrieval from sound libraries.
|easaier, c++, qt||2013-05-24||2013-05-24|
EasyMercurial is a user interface for the Mercurial distributed version control system.
|osx, version control, qt, linux, mercurial, windows, gpl, stable, c++||2010-11-09||2012-02-22|
A version of KDiff3 with some small modifications to make it easier to use in conjunction with EasyMercurial.
|osx, linux, windows, gpl, stable, c++, qt||2011-04-13||2011-05-26|
The dataset are stored in this project
Common code for emotion detection.
Frequency domain sequencer - creates rhythmic patterns from discrete sinusoids.
GM-PHD (Gaussian mixture probability hypothesis density) filter, implemented in Python.
|tracking, python, statistical models||2012-05-15||2012-05-15|
A program that uses genetic programming techniques to artificially evolve SuperCollider synthesizers towards the ability to emulate a target sound file.
Code library and tools for Harmonic Sinusoidal Modelling.
|beta, gpl, spectral, c++, harmonics||Chris Cannam, Luis Figueira, Xue Wen, Xue Wen||2010-09-29||2011-09-01|
|visualization, borland, windows, gpl, editing, spectral, c++, harmonics||Chris Cannam, Luis Figueira, Xue Wen||2011-07-27||2011-09-01|
Information Dynamics Of Music: sophisticated statistical modelling of musical structure
|statistical models, perception, lisp, expectation||2012-02-02||2013-06-14|
Metrics functions in Matlab for the Scene Classification and Event Detection tasks of the IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (D-CASE).
|matlab||Dan Stowell, Dimitrios Giannoulis, Emmanouil Benetos, Mark Plumbley||2013-03-08||2013-03-08|
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