2007:Query by Singing/Humming

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Revision as of 21:34, 8 March 2007 by Xwu (talk | contribs) (Participants)

Status

This is only a very basic draft version of a task proposal. Once more people show interest we can fill in the details.

The goal of the Query-by-Singing/Humming (QBSH) task is the evaluation of MIR systems that take as query input queries sung or hummed by real-world users. More information can be found in:

Please feel free to edit this page.

Query Data

The MIREX2006 corpus contributed by Roger Jang should be included:

MIREX2006 QBSH copurs

To build a large test set which can reflect real-world queries, it is suggested that every participant makes a contribution to the evaluation corpus. We can provide the record tool and midi utilities if necessary.

Task description

Classic QBSH evaluation:

  • Input: human singing/humming snippets (.wav)
  • Database: ground-truth and noise midi files(which are monophonic)
  • Output: candidate list.
  • Evaluation: Mean Reciprocal Rank (MMR) and Top-X hit rate.

Rainer Typke also suggests a hybrid symbolic/audio query by humming task which combines a few different algorithm modules (like mono/poly phonic transcriber and rhythm/melody matcher) and evaluates them in a more complex database composed of polyphonic audio files. It could be further discussed.

Participants

If you think there is a slight chance that you might want to participate, please add your name and e-mail address to this list

  • Xiao Wu (xwu at hccl dot ioa dot ac dot cn)