2018:Music and or Speech Detection Results
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 | |
| LN1 | Minsuk Choi, Jongpil Lee, Juhan Nam | |
| MM1 | Matija Marolt | |
| MM2 | Matija Marolt | |
| MM3 | Matija Marolt | |
| 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 |
| LN1 | 0.6251 | 0.5022 | 0.6987 |
| MM1 | 0.6135 | 0.3899 | 0.7172 |
| MM2 | 0.6807 | 0.5478 | 0.7531 |
| MM3 | 0.6075 | 0.3124 | 0.7254 |
| MMG1 | 0.9049 | 0.8996 | 0.9097 |
Event-level Evaluation
| Sub code | Music_F_500_on | Music_F_500_onoff | Music_F_1000_on | Music_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 |
| LN1 | 0.1348 | 0.0139 | 0.1704 | 0.0231 |
| 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 |
| MMG1 | 0.5177 | 0.2693 | 0.5813 | 0.3502 |
Notes on metrics:
Music_F = segment-level F-measure for the music class
No-Music_F = segment-level F-measure for the no-music class
Music_F_500_on = onset-only event-level F-measure (500 ms tolerance) for the music class
Music_F_500_onoff = onset-offset event-level F-measure (500 ms tolerance) for the music class
Music_F_1000_on = onset-only event-level F-measure (1000 ms tolerance) for the music class
Music_F_1000_onoff = onset-offset event-level F-measure (1000 ms tolerance) for the music class
Task 2: Speech Detection
Segment-level Evaluation
| Sub code | Accuracy | Speech F-measure | No-Speech F-measure |
|---|---|---|---|
| DD1 | 0.877 | 0.9186 | 0.7493 |
| JHKK3 | 0.8307 | 0.8795 | 0.7143 |
| LN1 | 0.6908 | 0.7472 | 0.6007 |
| 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 |
Event-level Evaluation
| Sub code | Speech_F_500_on | Speech_F_500_onoff | Speech_F_1000_on | Speech_F_1000_onoff |
|---|---|---|---|---|
| DD1 | 0.415 | 0.1603 | 0.4477 | 0.2122 |
| JHKK3 | 0.2882 | 0.0777 | 0.3289 | 0.0962 |
| LN1 | 0.2686 | 0.0529 | 0.3484 | 0.0883 |
| MM1 | 0.4607 | 0.2068 | 0.4898 | 0.2336 |
| MM2 | 0.4422 | 0.1999 | 0.5093 | 0.266 |
| MM3 | 0.4439 | 0.1775 | 0.4879 | 0.2122 |
Notes on metrics:
Speech_F = segment-level F-measure for the speech class
No-Speech_F = segment-level F-measure for the no-speech class
Speech_F_500_on = onset-only event-level F-measure (500 ms tolerance) for the speech class
Speech_F_500_onoff = onset-offset event-level F-measure (500 ms tolerance) for the speech class
Speech_F_1000_on = onset-only event-level F-measure (1000 ms tolerance) for the speech class
Speech_F_1000_onoff = onset-offset event-level F-measure (1000 ms tolerance) for the speech class