2006:QBSH: Query-by-Singing/Humming

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Revision as of 12:30, 21 July 2006 by Admin (talk | contribs)

Overview

The QBSH: Query-by-Singing/Humming is a new task for MIREX 2006. This goal of the QBSH task is the evaluation of MIR systems that take as query input queries sung or hummed by real-world users. Prof. J.-S. Roger Jang has created a set of 2719 recorded query files representing requests for 48 different music pieces.

Task Descriptions

There will be TWO QBSH tasks (thus TWO index buildings and TWO test runs):

TASK1: Known-Item Retrieval Task

Based on Prof. Jang's original idea to test for the ability to find the "ground-truth" needle in a collection "haystack".

  • Test database: 48 ground-truth MIDIs + ~2000 Essen MIDI noise files
  • Queries: 2719 sung queries [1]
  • Evaluation: Mean Reciprocal rank, over top X returns, of the "know-item" ground-truth file for each sung query


TASK2: Variants Retrieval Task

Based on Prof. Downie's idea that queries are variants of ground truth.

  • Test database: 48 ground truth MIDIs + ~ 2000 Essen MIDI noise files + 2719 sung queries [1]
  • Queries: 2719 sung queries + 48 ground truth MIDI files
  • Evaluation: Classic precision and recall over X top returns

Admin 13:30, 21 July 2006 (CDT)

Moderators

  • J.-S. Roger Jang
  • J. Stephen Downie
  • Rainer Typke
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