Modal is a cross-platform library for musical onset detection, written in C++ and Python. It is provided here under the terms of the GNU General Public License. It consists of code for several different types of Onset Detection Function (ODF), code for real-time and non-real-time onset detection, and a means for comparing the performance of different ODFs.
All ODFs are implemented in both C++ and Python. The code for Onset detection and ODF comparison is currently only available in Python.
Modal also includes a database of musical samples with hand-annotated onset locations for ODF evaluation purposes. The database is a hierarchical database, stored in the HDF5 format, and can be found here.
Note: The code needed to replicate the results from the paper "Real-time Detection of Musical Onsets with Linear Prediction and Sinusoidal Modelling", published in the EURASIP Journal on Advances in Signal Processing (2011) can now be found here: http://github.com/johnglover/eurasip2011
Project documentation can viewed online at http://readthedocs.org/docs/modal/en/latest/.