2007:Audio Classical Composer Identification

Introduction

This task is intended to be a sub-task of artist identification and will be run in exactly the same format on a different database.

The task is to identify the composer of a number of pieces of classical music from the baroque, classical and romantic periods. This task is distinct from artist identification in that the performer of each piece may be varied.

Due to the fact that the submission format is likely to be identical to that of audio artist identification and genre classification - participants to either task may also enter their algorithm into this task.

Status

A provisional specification of the composer identification task is detailed below. This proposal may be refined based on feedback from the particpants.

Related MIREX 2007 task proposals:

• Audio Artist Identification
• Audio Genre Classification

Please feel free to edit this page.

Data

Collection statistics to be announced shortly. A new collection produced by IMIRSEL will be used and is expected to contain ~5000 examples, drawn from a master collection of over 10,000 tracks, organised into 7 or more composers. Each composer will have a minimum population of 250 tracks. At present the database contains tracks for:

• Bach (all)
• Beethoven
• Handel
• Chopin
• Dvorak
• Mozart (all)
• Brahms

However, this list maybe expanded shortly.

Evaluation

The evaluation procedures used for artist identification will also be used for this task. Please see Audio Artist Identification for details.

Submission format

Submission to this task will have to conform to a specified format detailed in the Audio Artist Identification proposal.

Audio formats

Participating algorithms will have to read audio in the following format:

• Sample rate: 22 KHz
• Sample size: 16 bit
• Number of channels: 1 (mono)
• Encoding: WAV

Implementation details

Please see Audio Artist Identification for details.

I/O formats

Please see Audio Artist Identification for details.

Packaging submissions

Please see Audio Artist Identification for details.

Pre-trained submissions

Pre-trained submissions to this task will be accepted - however they will have to ensure that they return the correct classification labels (as listed in the hierachy file).

Time and hardware limits

Due to the potentially high number of particpants in this and other audio tasks, hard limits on the runtime of submissions will be specified.

A hard limit of 24 hours will be imposed on feature extraction times.

A hard limit of 24 hours will be imposed on each training/classificaiton cycle, leading to a total runtime limit of 72 hours.

Submission opening date

14th August 2007 - provisional

Submission closing date

28th August 2007 - provisional

Participants

If you think there is a slight chance that you might want to participate please add your name and email address here.

• Thomas Lidy (lastname@ifs.tuwien.ac.at)
• ....