Mercurial > hg > soundsoftware-icassp-2012
changeset 31:9b8a03234464
Added 3 missing references.
author | luisf <luis.figueira@eecs.qmul.ac.uk> |
---|---|
date | Mon, 26 Sep 2011 11:56:27 +0100 |
parents | e9550ad8ce0e |
children | b88a556b46d8 |
files | cannam.tex refs.bib |
diffstat | 2 files changed, 45 insertions(+), 3 deletions(-) [+] |
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--- a/cannam.tex Mon Sep 26 11:14:22 2011 +0100 +++ b/cannam.tex Mon Sep 26 11:56:27 2011 +0100 @@ -190,11 +190,11 @@ As a consequence of these obstacles to publication and the variety of platforms used, software developed in earlier research is often unavailable to later researchers. For example, in the well-known -subject of beat tracking, the method of Scheirer et al~\cite{scheirer} +subject of beat tracking, the method of Scheirer et al~\cite{scheirer1998} was developed in \CC{} for a legacy platform and is now only available -informally; Goto et al~\cite{goto} was written for a parallel +informally; Goto et al~\cite{goto2001} was written for a parallel architecture no longer in wide use and never publicly released; -Hainsworth \cite{hainsworth} was written in MATLAB with a +Hainsworth~\cite{hainsworth2006} was written in MATLAB with a Windows-specific DLL component and only runs on a single platform; Klapuri et al \cite{klapuri} is not widely distributed; and methods from several other researchers have not been published in code.
--- a/refs.bib Mon Sep 26 11:14:22 2011 +0100 +++ b/refs.bib Mon Sep 26 11:56:27 2011 +0100 @@ -126,3 +126,45 @@ volume = {467}, year = {2010} } + +@article{scheirer1998, +abstract = {A method is presented for using a small number of bandpass filters and banks of parallel comb filters to analyze the tempo of, and extract the beat from, musical signals of arbitrary polyphonic complexity and containing arbitrary timbres. This analysis is performed causally, and can be used predictively to guess when beats will occur in the future. Results in a short validation experiment demonstrate that the performance of the algorithm is similar to the performance of human listeners in a variety of musical situations. Aspects of the algorithm are discussed in relation to previous high-level cognitive models of beat tracking.}, +author = {Scheirer, E D}, +institution = {Machine Listening Group, MIT Media Laboratory, Cambridge, Massachusetts 02139, USA. eds@media.mit.edu}, +issn = {00014966}, +journal = {Journal of the Acoustical Society of America}, +keywords = {acoustics,algorithms,cognition,cognition physiology,humans,music,periodicity}, +number = {1}, +pages = {588--601}, +pmid = {9440344}, +title = {{Tempo and beat analysis of acoustic musical signals.}}, +url = {http://www.ncbi.nlm.nih.gov/pubmed/9440344}, +volume = {103}, +year = {1998} +} +@article{goto2001, +author = {Goto, Masataka}, +doi = {10.1076/jnmr.30.2.159.7114}, +issn = {09298215}, +journal = {Journal of New Music Research}, +number = {2}, +pages = {159--171}, +publisher = {Routledge}, +title = {{An Audio-based Real-time Beat Tracking System for Music With or Without Drum-sounds}}, +url = {http://www.informaworld.com/openurl?genre=article\&doi=10.1076/jnmr.30.2.159.7114\&magic=crossref}, +volume = {30}, +year = {2001} +} +@incollection{hainsworth2006, +author = {Hainsworth, Stephen}, +booktitle = {Signal Processing Methods for Music Transcription}, +chapter = {4}, +editor = {Klapuri, Anssi and Davy, Manuel}, +pages = {101--129}, +publisher = {Springer}, +title = {{Beat Tracking and Musical Metre Analysis}}, +url = {http://www.springerlink.com/content/p6211u4n326734w4/}, +volume = {4}, +year = {2006} +} +