2009:Audio Onset Detection Results

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Revision as of 13:52, 15 October 2009 by AndreasEhmann (talk | contribs) (→‎MIREX 2009 Audio Onset Detection Runtime Data)

Introduction

These are the results for the 2009 running of the Audio Onset Detection. 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.

General Legend

Team ID

AR1 = A. R├╢bel (7_hd)
AR2 = A. R├╢bel (10_hd)
AR3 = A. R├╢bel (12_nhd)
AR4 = A. R├╢bel (16_nhd)
AR5 = A. R├╢bel (19_hdc)
GT = George Tzanetakis
PI = Antonio Pertusa, José M. Iñesta
TZC1 = Hui Li Tan, Yongwei Zhu, Lekha Chaisorn
TZC2 = Hui Li Tan, Yongwei Zhu, Lekha Chaisorn
TZC3 = Hui Li Tan, Yongwei Zhu, Lekha Chaisorn
TZC4 = Hui Li Tan, Yongwei Zhu, Lekha Chaisorn
TZC5 = Hui Li Tan, Yongwei Zhu, Lekha Chaisorn

Overall Summary Results

MIREX 2009 Audio Onset Detection Summary Results - Peak F-measure performance across all parameterizations

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

MIREX 2009 Audio Onset Detection Runtime Data

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

Results by Class

Individual Results

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