Detailed description

The research behind this system is documented in an ICASSP 2013 paper: http://www.icassp2013.com/Papers/ViewPapers.asp?PaperNum=4116

The algorithm comprises three different stages: onset detection, feature computation and classification. We implemented patches several versions for each of the stages.

onset detection - you can use a faster onset detector or the slower one with better resolution you can use the faster feature computation which takes just the first 56 ms, or you can use the "best" patch which overlaps 10 frames summing 136 ms of analysis you can choose between a trained KNN classifier or a sequential K-means classifier In the src directory you can find the C source code for the MaxMSP externals.

The overlapping sounds database can be downloaded from: http://www.mediafire.com/download.php?q8nl199bnz7g68n OR https://www.dropbox.com/s/6ykurx3lr9s0lj5/overlapping_sounds_db.zip

This work is supported by the ERDF – European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT – Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) within project Shake-it, Grant PTDC/EAT-MMU/ 112255/2009. Part of this research was supported by the CASA project with reference PTDC/EIA-CCO/111050/2009 (FCT), and by the MAT project funded by ON.2.