2006:Audio Onset Detection Results

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Revision as of 14:35, 4 October 2006 by Admin (talk | contribs) (→‎Introduction)

Introduction

These are the results for the 2006 running of the Audio Onset Detection task set. For background information about this task set please refer to the Audio Onset Detection page.

The aim of the Audio Onset Detection task is to find the time locations at which all musical events in a recording begin. The dataset consists of 85 recordings across 9 different "classes" (e.g. solo drums, polyphonic pitched, etc.). For each sound file, ground truth annotations produced by 3-5 listeners were used for the evaluation. Each algorithm was tested across 10-20 different parameterizations (e.g. thresholds) in order to produce Precision vs. Recall Operating Characteristic (P-ROC) curves. The primary evauluation metric used was the F1-Measure (the equal weighted harmonic mean of precision and recall).

General Legend

Team ID

dixon = Simon Dixon
roebel = A. R├╢bel
brossier = Paul Brossier
du = Yunfeng Du, Ming Li, Jian Liu

  • Dixon's NWPD submission was modified by Andreas Ehmann, and requires the author's verification

Overall Summary Results

MIREX 2006 Audio Onset Detection Summary Results - Peak F-measure performance across all parameterizations

file /nema-raid/www/mirex/results/onset06_sum.csv not found

MIREX 2006 Audio Onset Detection Summary Plot

File:Onset06 summary.png

MIREX 2006 Audio Onset Detection Runtime Data

file /nema-raid/www/mirex/results/onset06_runtime.csv not found

Results by Class

Individual Results

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