Mercurial > hg > mirex2013
changeset 26:f0d29b4dd81c abstract
Removed pdf; added paragraph on Onset Detector
author | luisf <luis.figueira@eecs.qmul.ac.uk> |
---|---|
date | Fri, 06 Sep 2013 11:11:07 +0100 |
parents | bd08a256037b |
children | 2920df6dc246 |
files | vamp-plugins_abstract/qmvamp-mirex2013.bib vamp-plugins_abstract/qmvamp-mirex2013.pdf vamp-plugins_abstract/qmvamp-mirex2013.tex |
diffstat | 3 files changed, 15 insertions(+), 2 deletions(-) [+] |
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--- a/vamp-plugins_abstract/qmvamp-mirex2013.bib Thu Sep 05 18:27:48 2013 +0100 +++ b/vamp-plugins_abstract/qmvamp-mirex2013.bib Fri Sep 06 11:11:07 2013 +0100 @@ -8,3 +8,9 @@ year = {2007} } + @inproceedings{dan2007a, + author = {Dan Stowell and Mark D. Plumbley}, + title = {Adaptive whitening for improved real-time audio onset detection}, + booktitle = {Proceedings of the International Computer Music Conference (ICMC'07)}, + year = {2007} +} \ No newline at end of file
--- a/vamp-plugins_abstract/qmvamp-mirex2013.tex Thu Sep 05 18:27:48 2013 +0100 +++ b/vamp-plugins_abstract/qmvamp-mirex2013.tex Fri Sep 06 11:11:07 2013 +0100 @@ -65,15 +65,22 @@ [Need reference] -The Key Detector VAMP pluginanalyses a single channel of audio and continuously estimates the key of the music by comparing the degree to which a block-by-block chromagram correlates to the stored key profiles for each major and minor key. +The Key Detector VAMP pluginan alyses a single channel of audio and continuously estimates the key of the music by comparing the degree to which a block-by-block chromagram correlates to the stored key profiles for each major and minor key. The key profiles are drawn from analysis of Book I of the Well Tempered Klavier by J S Bach, recorded at A=440 equal temperament. The Key Detector Vamp plugin was written by Katy Noland and Christian Landone. -\section{Audio Melody Extraction} \section{Audio Onset Detection} + +The Note Onset Detector VAMP plugin\cite{dan2007a} analyses a single channel of audio and estimates the onset times of notes within the music -- that is, the times at which notes and other audible events begin. + +It calculates an onset likelihood function for each spectral frame, and picks peaks in a smoothed version of this function. The plugin is non-causal, returning all results at the end of processing. + \section{Audio Structural Segmentation} + + + \section{Audio Tempo Estimation} \bibliography{qmvamp-mirex2013}