We present a dataset of annotations of tracks containing metric modulations.
A metric modulation is defined by a relatively abrupt change of metrical structure over time.
In order to capture this, for each track the annotations consist of:
This dataset is collected for the purpose of Jingju structural segmentation research. You can download the metadata and structural segmentation annotations at the following links.
This dataset accompanies with a research paper which we will update soon.
Segmentino is a Vamp plugin for automatic music structural segmentation, based on an algorithm first used in Mauch et al.'s paper on Using Musical Structure to Enhance Automatic Chord Transcription. Version 1.0 was run in MIREX 2013 (results here).
For more information on licensing, the source code and software builds, please visit the
Segmentino project page on SoundSoftware.
If you want to start right away, you can download readily compiled binaries for Windows and Mac OSX (Intel) (see here). Then just use them in a host such as Sonic Visualiser or Audacity, which are also open source.
A video of the installation on a Mac is available here.
Sonic Annotator Web Application (SAWA) is a simple framework for writing Web-based applications involving audio analysis.
Sonic Annotator is a batch tool for feature extraction and annotation of audio files allowing audio analysis results to be output in RDF (or other formats).
Sonic Visualiser is an application for viewing and analysing the contents of music audio files.
The aim of Sonic Visualiser is to be the first program you reach for when want to study a musical recording rather than simply listen to it.
Audio feature extraction plugins from Queen Mary, University of London
A set of plugins for feature extraction from audio data, using the Vamp plugin format suitable for use in programs such as Sonic Visualiser and Sonic Annotator.
SoundBite-beta0.8.dmg (Mac OS 10.7 or greater, 64 bits)
