Difference between revisions of "2018:Music and or Speech Detection Results"
From MIREX Wiki
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===Event-level Evaluation=== | ===Event-level Evaluation=== | ||
+ | {| border="1" cellspacing="0" style="text-align: left; width: 240px;" | ||
+ | |- style="background: yellow;" | ||
+ | ! width="80" | Sub code | ||
+ | ! width="80" style="text-align: center;" | F_500_on | ||
+ | ! width="80" | F_500_onoff | ||
+ | ! width="80" | F_1000_on | ||
+ | ! width="80" | F_1000_onoff | ||
+ | |- | ||
+ | ! DD1 | ||
+ | | 0.2877 || 0.093 || 0.312 || 0.1142 | ||
+ | |- | ||
+ | ! JHKK1 | ||
+ | | 0.2303 || 0.0765 || 0.294 || 0.1173 | ||
+ | |- | ||
+ | ! JHKK2 | ||
+ | | 0.2522 || 0.0931 || 0.3245 || 0.1389 | ||
+ | |- | ||
+ | ! MM1 | ||
+ | | 0.2044 || 0.0662 || 0.2137 || 0.0831 | ||
+ | |- | ||
+ | ! MM2 | ||
+ | | 0.2464 || 0.0817 || 0.2736 || 0.1049 | ||
+ | |- | ||
+ | ! MM3 | ||
+ | | 0.1379 || 0.0525 || 0.1619 || 0.0676 | ||
+ | |- | ||
+ | ! LN1 | ||
+ | | 0.1348 || 0.0139 || 0.1704 || 0.0231 | ||
+ | |- | ||
+ | ! MMG1 | ||
+ | | 0.5177 || 0.2693 || 0.5813 || 0.3502 | ||
+ | |} | ||
− | + | ==Task 2: Speech Detection== | |
− | ==Task | ||
[https://www.music-ir.org/mirex/wiki/2018:Music_and/or_Speech_Detection#Evaluation_Dataset Dataset 1] | [https://www.music-ir.org/mirex/wiki/2018:Music_and/or_Speech_Detection#Evaluation_Dataset Dataset 1] |
Revision as of 09:40, 17 September 2018
Contents
Introduction
These are the results for the 2018 running of the Music and/or Speech Detection tasks. For background information about this task set please refer to the 2018:Music and/or Speech Detection page.
General Legend
Sub code | Abstract | Contributors |
---|---|---|
DD1 | David Doukhan | |
JHKK1 | Byeong-Yong Jang, Woon-Haeng Heo, Jung-Hyun Kim, Oh-Wook Kwon | |
JHKK2 | Byeong-Yong Jang, Woon-Haeng Heo, Jung-Hyun Kim, Oh-Wook Kwon | |
JHKK3 | Byeong-Yong Jang, Woon-Haeng Heo, Jung-Hyun Kim, Oh-Wook Kwon | |
MM1 | Matija Marolt | |
MM2 | Matija Marolt | |
MM3 | Matija Marolt | |
LN1 | Minsuk Choi, Jongpil Lee, Juhan Nam | |
MMG1 | Blai Meléndez-Catalán, Emilio Molina, Emilia Gómez | |
MMG2 | Blai Meléndez-Catalán, Emilio Molina, Emilia Gómez |
Task 1: Music Detection
Segment-level Evaluation
Sub code | Accuracy | Music F | No Music F |
---|---|---|---|
DD1 | 0.6860 | 0.5424 | 0.7611 |
JHKK1 | 0.7798 | 0.7123 | 0.8215 |
JHKK2 | 0.8005 | 0.7415 | 0.8375 |
MM1 | 0.6135 | 0.3899 | 0.7172 |
MM2 | 0.6807 | 0.5478 | 0.7531 |
MM3 | 0.6075 | 0.3124 | 0.7254 |
LN1 | 0.6251 | 0.5022 | 0.6987 |
MMG1 | 0.9049 | 0.8996 | 0.9097 |
Event-level Evaluation
Sub code | F_500_on | F_500_onoff | F_1000_on | F_1000_onoff |
---|---|---|---|---|
DD1 | 0.2877 | 0.093 | 0.312 | 0.1142 |
JHKK1 | 0.2303 | 0.0765 | 0.294 | 0.1173 |
JHKK2 | 0.2522 | 0.0931 | 0.3245 | 0.1389 |
MM1 | 0.2044 | 0.0662 | 0.2137 | 0.0831 |
MM2 | 0.2464 | 0.0817 | 0.2736 | 0.1049 |
MM3 | 0.1379 | 0.0525 | 0.1619 | 0.0676 |
LN1 | 0.1348 | 0.0139 | 0.1704 | 0.0231 |
MMG1 | 0.5177 | 0.2693 | 0.5813 | 0.3502 |
Task 2: Speech Detection
Sub code | Accuracy | Speech F-measure | No Speech F-measure |
---|---|---|---|
DD1 | 0.877 | 0.9186 | 0.7493 |
JHKK3 | 0.8307 | 0.8795 | 0.7143 |
MM1 | 0.8626 | 0.9115 | 0.6948 |
MM2 | 0.8619 | 0.909 | 0.713 |
MM3 | 0.8508 | 0.9086 | 0.5966 |
LN1 | 0.6908 | 0.7472 | 0.6007 |