Difference between revisions of "2018:Audio Fingerprinting Results"

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     ! ZL1
 
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     | NetEase Cloud Music Audio FingerPrinting System_ZL1  ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/ZL1.pdf PDF] || [https://www.linkedin.com/in/yuanzhongzheng/ Yuanzhong Zheng], [[http://163.com huaping Liu]
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     | NetEase Cloud Music Audio FingerPrinting System_ZL1  ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/ZL1.pdf PDF] || [https://www.linkedin.com/in/yuanzhongzheng/ Yuanzhong Zheng], [http://163.com huaping Liu]
 
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     ! ZL3
 
     ! ZL3
     | NetEase Cloud Music Audio FingerPrinting System_ZL3  ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/ZL3.pdf PDF] || [https://www.linkedin.com/in/yuanzhongzheng/ Yuanzhong Zheng], [[http://163.com huaping Liu]
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     | NetEase Cloud Music Audio FingerPrinting System_ZL3  ||  style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/ZL3.pdf PDF] || [https://www.linkedin.com/in/yuanzhongzheng/ Yuanzhong Zheng], [http://163.com huaping Liu]
 
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Revision as of 15:49, 19 September 2018

Introduction

These are the results for the 2018 running of the Audio Fingerprinting task. For background information about this task set please refer to the 2018:Audio Fingerprinting page.

General Legend

Sub code Submission name Abstract Contributors
ZL1 NetEase Cloud Music Audio FingerPrinting System_ZL1 PDF Yuanzhong Zheng, huaping Liu
ZL3 NetEase Cloud Music Audio FingerPrinting System_ZL3 PDF Yuanzhong Zheng, huaping Liu
TY1 AFP-2G PDF Te-Lun Yang
TY2 AFP-9146 PDF Te-Lun Yang
TY3 AFP-9150 PDF Te-Lun Yang
PK3 Zapr3 PDF Harikrishnan Potty, Srikanth Konjeti
PK4 Zapr4 PDF Harikrishnan Potty, Srikanth Konjeti
PK6 Zapr6 PDF Harikrishnan Potty, Srikanth Konjeti
PK7 Zapr7 PDF Harikrishnan Potty, Srikanth Konjeti
PK8 Zapr8 PDF Harikrishnan Potty, Srikanth Konjeti

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
  • D: 2.1 GHz, 24 cores CPU, 32 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
(%)
ZL1 19:02:11 (B) 927.48 00:47:50 (B) 86.10
ZL3 28:26:58 (A) 1291.19 02:49:59 (A) 91.73
TY1 12:38:56 (C) 4110.43 51:01:44 (C) 91.41
TY2 10:13:16 (C) 4152.14 45:30:14 (C) 90.78
TY3 12:11:45 (C) 4110.43 35:45:42 (C) 91.41
PK3 11:35:34 (B) 554.40 04:45:56 (B) 90.43
PK4 14:39:53 (B) 743.13 04:20:08 (B) 90.27
PK6 09:20:47 (A) 554.40 03:02:10 (A) 90.43
PK7 11:55:45 (B) 556.37 02:42:44 (B) 91.62
PK8 10:36:24 (A) 556.29 02:31:35 (A) 91.30

download these results as csv