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Normalized Cuts for Singing Voice Separation and Melody Extraction
(M. Lagrange, L. G. Martins, J. Murdoch, G. Tzanetakis) - TSALP07
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Download and Run the Marsyas Peak Clustering Software

Download and Run the
Marsyas Peak Clustering Software

We are pleased to make available the software created as a part of this work. Here you will find information regarding downloading, compilation, and use of the "peakClustering" tool created using the Marsyas 0.2 framework.

Step 1: Download and Install the Marsyas 0.2 Framework.

  •  Marsyas is available on SourceForge at
      http://sourceforge.net/projects/marsyas
  •  Installation instructions for Linux, MacOSX, and Windows
     are provided in the Marsyas 0.2 Users Manual provided below

Step 2: Use "peakClustering" (found in the /src directory) to analyse and synthesize peak clusters from independent or automatically-mixed pairs of audio files.

  •  The following explains the command-line usage of "peakClustering":
./peakClustering [OPTIONS] FILE
(Windows Visual Studio users, please consult the Marsyas Users Manual for project file information)
FILE Name of Audio File to be Processed

GENERAL OPTIONS
-i dir Input Directory Name
-o dir Output Directory Name
-q Duration Number of seconds of audio to analyze
-N file Audio file to be mixed with the target file before processing

ON-LINE OPTIONS
-a Analyze from Audio File (.au, .wav, etc.)
-s Synthesize Audio From Selected Clusters
-c nbClusters Desired Number of Peak Clusters per Texture Window
-p pruning Number of Clusters to be Retained per Texture Window
-t type Peak Similarity Measure (Explained Below)
-P Save Clustered Peaks to File (.peak) (Mandatory for Further Off-Line Processing)

OFFLINE OPTIONS
-A Compute Cluster Attributes from Peak File (.peak)
-S Synthesize Independent Audio for Each Cluster
Peak Similarity Measure ( -t [T_OPTIONS] )
Options are composed of any number of (attribute,normalization) pairs concatenated together

ATTRIBUTES a = amplitude
f = frequency
h = harmonicity
t = time
A = delta amplitude
F = delta frequency
NORMALIZATION o = unnormalized
n = normalize
l = use logarithmic scale
     (dB for 'a' or Bark for 'f')
b = normalize and use log scale
e.g. -t hoab


General documentation for the Marasyas 0.2 framework:
(please note that this documentation is a work-in-progress)

Marsyas 0.2 User Manual

Slides from the tutorial entitled, "MIR for Audio Signals Using Marsyas-0.2" presented at ISMIR 2006 (Victoria, B.C.):

ISMIR 2006 Tutorial Slides

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