KNOWLEDGE TRANSFER FROM WEAKLY LABELED AUDIO USING CONVOLUTIONAL NEURAL NETWORK FOR SOUND EVENTS AND SCENES. pdf
Authors: Anurag Kumar, Maksim Khadkevich, Christian Fügen
Area Under ROC Curves (AUC)
Figure compared AP of \(\mathcal{N}_S\) and \(\mathcal{N}_S^{slat}\). The Index of sound events 1 to 50 is shown below. The first column is Index in the above figure, second is the event id (magenta) as used in Audioset dataset and third (blue) is sound event name
1 /m/0d8_n Pizzicato
2 /m/09ct_ Helicopter
3 /m/0912c9 Vehicle horn- car horn- honking
4 /m/0283d Drum and bass
5 /t/dd00134 Car passing by
6 /m/07gql Trumpet
7 /m/07rc7d9 Bow-wow
8 /m/03qtq Hi-hat
9 /m/028sqc Music of Asia
10 /m/01yrx Cat
11 /m/02x8m Funk
12 /m/05r6t Punk rock
13 /t/dd00034 Tender music
14 /m/0dwtp Glockenspiel
15 /m/026z9 Disco
16 /m/0g293 Music of Latin America
17 /m/06bz3 Radio
18 /m/032s66 Gunshot- gunfire
19 /t/dd00067 Heavy engine (low frequency)
20 /m/016cjb Gospel music
21 /m/02cjck Theme music
22 /m/053hz1 Cheering
23 /m/06h7j Run
24 /m/08cyft Electronic dance music
25 /m/07lnk Trance music
26 /m/06bxc Rapping
27 /m/03t3fj Rimshot
28 /m/0ch8v Livestock- farm animals- working animals
29 /m/07pggtn Chirp- tweet
30 /m/01s0ps Electric piano
31 /m/01qbl Cymbal
32 /m/0155w Blues
33 /m/02rr_ Effects unit
34 /m/0l14j_ Flute
35 /m/01c194 Mantra
36 /m/03_d0 Jazz
37 /m/0ggx5q Dance music
38 /m/025td0t Background music
39 /m/0l14qv Synthesizer
40 /m/06j6l Rhythm and blues
41 /m/01xqw Cello
42 /m/01bjv Bus
43 /m/07xzm Ukulele
44 /m/0m0jc Electronica
45 /m/01v1d8 Sampler
46 /m/0k5j Aircraft
47 /m/0dwsp Marimba- xylophone
48 /m/01lyv Country
49 /t/dd00035 Exciting music
50 /m/01j3sz Laughter