Table 11.

CNN with Leaky ReLU in conjunction with attention-based LSTM on UrbandSound8K dataset.

	Precision	Recall	F1-score	No.
Air_conditioner	0.89	0.95	0.92	300
Car_horn	0.97	0.87	0.92	129
Children_playing	0.87	0.88	0.87	300
Dog_bark	0.95	0.88	0.91	300
Drilling	0.92	0.95	0.94	300
Engine_idling	0.90	0.88	0.89	300
Gun_shot	1.00	0.97	0.99	113
Jackhammer	0.95	0.95	0.95	300
Siren	0.89	0.93	0.91	279
Street_music	0.90	0.89	0.90	300
Accuracy			0.91	2621
Macro avg	0.92	0.92	0.92	2621
Weighted avg	0.92	0.91	0.91	2621

No. indicates the number of samples.