## 2 Apartment Building Inter-Floor Noise Datasets  
The two datasets adopted in this study contain inter-floor noise recorded using a single microphone in two actual apartment buildings. They are designed to study the CNN-based source type classification and localization in apartment buildings. These extend the dataset obtained from the campus building in the previous study [10]. The data points were selected to simulate inter-floor noises on the floor above/below based on the noise statistics [4], which provides the main unpleasant noise types and source positions to occupants. The key purposes of the dataset are for verifying (1) the generalizability of CNN for source type classification and localization on inter-floor noise in actual reinforced concrete buildings not only in the campus building as exhibited in the previous work [10]; (2) source type classification and localization of inter-floor noise transmitted through unlearned floor sections and from unlearned positions, which can be seen as knowledge transfer within a single building; and (3) source type and localization knowledge transfer between two similar reinforced concrete buildings. Selecting source type and position of inter-floor noise for data construction was discussed sufficiently in the previous study [10] based on the noise statistics [4]. The statistics provides the source types and positions of the identified inter-floor noises from the analysis of the 119,500 complaints investigated by the center from 2012 to March of 2018. The identified source types and their contributions to inter-floor noise complaints are attributed to footsteps (71.0%), hammering (3.90%), furniture (3.3%), home appliances (vacuum cleaner, laundry machines, and television) (3.3%), doors (2.0%), and unidentified or unrecorded sources (10.1%). Of the identified inter-floor noises, 79.4% were from the floor above and 16.3% were from the floor below. In other words, 95.7% of the complaints originated from inter-floor noises on the floors above/below. Inter-floor noises were generated in two apartment buildings referring to the discussion. The inter-floor noise obtained from the two apartment buildings can be classified into five source types, as shown in Figure 1. They are the same source types as those included in the dataset from the campus building: a medicine ball falling to the floor from a height of 1.2 m (MB), a hammer dropped from a height of 1.2 m above the floor (HD), hammering (HH), dragging a chair (CD), and operating a vacuum cleaner (VC). The inter-floor noise generating procedures are the same as those in the previous work [10]. Figures 2 and 3 present floor plans and building elevations of apartment buildings I (APT I) and II (APT II), respectively, where the inter-floor noise was obtained. The circles (\(\bigcirc\)) and squares (\(\square\)) represent the positions of the noise sources and receivers, respectively, and the labels near the circles indicate the source positions. These apartment buildings are reinforced concrete-frame structures and partitioned with concrete walls. Such building structures are reported as the most widely used types for modern buildings in South Korea [36,37]. The slabs of the apartment buildings were covered with vinyl flooring. The construction details of APT I and APT II are a reinforced concrete wall and reinforced concrete masonry structure [38], respectively. The reinforced concrete wall structure withstands the load generated by its own weight by wall and has been the mainstream of modern apartment building construction in South Korea. There is a statistics  
Figure 1: Five noise types included in the datasets. Reprinted [10]. provided by the Korean Ministry of Land, Infrastructure and Transport that 98.5% of new residential multi-dwelling units during 2007-2017 were constructed using this method [39]. The reinforced concrete masonry structure was usually adopted for the construction of low-rise buildings during the 1960s-1980s in South Korea.