Difference between revisions of "2016:Audio Fingerprinting Results"
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== Introduction == | == Introduction == | ||
These are the results for the 2016 running of the Audio Fingerprinting task. For background information about this task set please refer to the [[2016:Audio Fingerprinting]] page. | These are the results for the 2016 running of the Audio Fingerprinting task. For background information about this task set please refer to the [[2016:Audio Fingerprinting]] page. | ||
| + | |||
| + | == General Legend == | ||
| + | {| border="1" cellspacing="0" style="text-align: left; width: 800px;" | ||
| + | |- style="background: yellow" | ||
| + | ! width="80" | Sub code | ||
| + | ! width="200" | Submission name | ||
| + | ! width="80" style="text-align: center;" | Abstract | ||
| + | ! width="540" | Contributors | ||
| + | |- | ||
| + | |||
| + | ! AT1 | ||
| + | | ACRCloud_1.2 || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT1.pdf PDF] || [http://www.acrcloud.com ACRCloud Team] | ||
| + | |- | ||
| + | |||
| + | ! AT2 | ||
| + | | ACRCloud_1.0 || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT2.pdf PDF] || [http://www.acrcloud.com ACRCloud Team] | ||
| + | |- | ||
| + | |||
| + | ! AT3 | ||
| + | | ACRCloud_0.8 || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT3.pdf PDF] || [http://www.acrcloud.com ACRCloud Team] | ||
| + | |- | ||
| + | |||
| + | ! AT4 | ||
| + | | WW_6 || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT4.pdf PDF] || [http://www.acrcloud.com ACRCloud Team] | ||
| + | |- | ||
| + | |||
| + | |} | ||
| + | |||
| + | ==Summary Results== | ||
| + | |||
| + | Size of database and running time are announced together with top-1 hit rate in the following table. Note that running time is announced for reference because machine spec, machine status, and number of cores used by a submission are different. IDs and specs of machines are: | ||
| + | |||
| + | * A and B: 1.9 GHz, 24 cores CPU, 64 GB RAM | ||
| + | * C: a VM with 8 cores CPU and 32 GB RAM, hosted on 2.4 GHz, 32 cores CPU and 128 GB RAM | ||
| + | |||
| + | |||
| + | <csv>2016/afp/result_2016.csv</csv> | ||
Revision as of 22:30, 13 July 2016
Introduction
These are the results for the 2016 running of the Audio Fingerprinting task. For background information about this task set please refer to the 2016:Audio Fingerprinting page.
General Legend
| Sub code | Submission name | Abstract | Contributors |
|---|---|---|---|
| AT1 | ACRCloud_1.2 | ACRCloud Team | |
| AT2 | ACRCloud_1.0 | ACRCloud Team | |
| AT3 | ACRCloud_0.8 | ACRCloud Team | |
| AT4 | WW_6 | ACRCloud Team |
Summary Results
Size of database and running time are announced together with top-1 hit rate in the following table. Note that running time is announced for reference because machine spec, machine status, and number of cores used by a submission are different. IDs and specs of machines are:
- A and B: 1.9 GHz, 24 cores CPU, 64 GB RAM
- C: a VM with 8 cores CPU and 32 GB RAM, hosted on 2.4 GHz, 32 cores CPU and 128 GB RAM
| Sub code |
Time/machine for builder (hh:mm:ss/machine ID) |
Size of database (MB) |
Time/machine for matcher (hh:mm:ss/machine ID) |
Top-1 hit rate (%) |
|---|---|---|---|---|
| AT1 | 01:37:57 (A) | 776.91 | 00:16:19 (A) | 91.62 |
| AT2 | 01:36:52 (D) | 657.79 | 00:14:44 (A) | 91.46 |
| AT3 | 01:36:58 (D) | 537.87 | 00:12:07 (A) | 91.41 |
| AT4 | 20:38:55 (A) | 2211.98 | 02:00:08 (A) | 91.88 |
