2014:Audio Fingerprinting

Description

This task requires the query by using exact but noisy recordings.

Data

Database

• 589 songs (*.mp3 and *.wav) corresponding to 573 different songs
• Language: English, Chinese, Japanese, ...
• 35 mono, 554 stereo
• 40.97 hours long

Query

• 305 recordings (*.wav) corresponding to 304 different songs in DB
• 166 mono, 139 stereo
• 16.11 hours long
• Recorded by variety brand of smartphones, containing noise
• Variety of sampling rate and bit resolution
• Divided into 5800 10-second clips

Evaluation Procedures

Top-10 hit rate (1 point is scored for a hit in the top 10 and 0 is scored otherwise, as in the Query by Singing/Humming task)

Submission Format

Participants are required to submit a breakdown version of algorithm. The two parts are:

1. Fingerprinting extractor
   Command format:

   extractor %file.list% %dir % %database_or_query%

   where %file.list% is the input list of database audio files named as uniq_key.mp3. or uniq_key.wav For example:

   ./AFP/database/00001.wav ./AFP/database/00002.wav ./AFP/database/00003.mp3 ./AFP/database/00004.wav ...

Time and hardware limits

Due to the potentially high number of participants in this and other audio tasks, hard limits on the runtime of submissions are specified. The time/storage limits of different steps are shown in the following table:

Steps	Time limit	Storage (hard disk) limit
extractor (for database)	Totally 72 hours	40KB for every 10 second audio + 250 MB extra overhead (if needed)
extractor (for query)		40 KB for each query clip
matcher		N/A

Submissions that exceed these limitations may not receive a result.

Discussion

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