SNU-B36-50E: an inter-floor noise dataset

SNU-B36-50 is an inter-floor noise dataset collected in building 36 at Seoul National University.It is designed for evaluation of an inter-floor noise type/position classifier.The dataset is a part of the conference paper:https://ieeexplore.ieee.org/abstract/document/8521392 And a convolutional neural networks-based inter-floor noise type/position classifier is evaluated with the expanded version (SNU-B36-50E)in a paper titled "Classification of inter-floor noise type/position via convolutional neural network-based supervised learning” (submitted to Applied Sciences). The inter-floor noises included in the dataset can be classified into 5 noise types and 19 positions.The noise types are- A medicine ball falling on the floor from a height of 1.2 m (MB)- A Hammer dropped from 1.2m above the floor (HD)- Hammering (HH)- Chair dragging (CD)- Running a vacuum cleaner (VC) And the positions ([floor][distance from the origin along the X-coordinate]) are- 1F0m, 1F6m, 1F12m- 2F0m, 2F6m, 2F12m- 3F0m, 3F1m, 3F2m, 3F3m, 3F4m, 3F5m, 3F6m, 3F7m, 3F8m, 3F9m, 3F10m, 3F11m, 3F12m A smartphone microphone was used as a receiver to record the inter-floor noises.The noises were sampled at 44,100Hz for ~5 s.