2016:Audio Fingerprinting Results - Revision history

Chung-Che Wang at 08:52, 14 July 2016

2016-07-14T08:52:15Z

Chung-Che Wang at 04:49, 14 July 2016

2016-07-14T04:49:52Z

Chung-Che Wang at 04:30, 14 July 2016

2016-07-14T04:30:11Z

Yun Hao: Created page with "== 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 Fi..."

2016-07-13T17:16:39Z

Created page with "== 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 Fi..."

New page

== 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.

@@ Line 24: / Line 24: @@
      ! AT4
-     | WW_6          ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT4.pdf PDF] || [http://www.acrcloud.com ACRCloud Team]
+     | ACRCloud_0.6  ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/AT4.pdf PDF] || [http://www.acrcloud.com ACRCloud Team]
      |-

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 * 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>

← Older revision		Revision as of 04:30, 14 July 2016
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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>