## 2 Apartment Building Inter-Floor Noise Datasets
Both APT I and APT II datasets are designed to obtain the five source types of inter-floor noise from the floors above/below, similar to the campus building dataset. Inter-floor noise was recorded using a smartphone [40] microphone with a sampling rate \(f_{\mathrm{s}}\) of 44,100 Hz. The duration of each recording is approximately 5 s, and each recording contains a single event. The height of the receiver was 1.5 m above the floor, as set for the campus building dataset. Both datasets could be split into a training/validation and test dataset. Figure 2: Noise source () and receiver () positions used for inter-floor noise generation at APT I. (**a**) Floor plan. (**b**) Building elevation 1 (APT 1). (**c**) Building elevation 1\({}^{\prime}\) (APT 1\({}^{\prime}\)). Obtaining a training/validation dataset from APT I was prepared as follows. The five source types were generated at 1-A and 1-B, and sampled with the receiver on the floor above/below as illustrated in Figure 2b. The data points 1-A and 1-B are the centers of the two spaces evenly dividing the room allowed for the experiment. Their positions relative to the receiver are labeled as  
\[\mathcal{Y}_{\text{p,APT\,1}}=\{\text{1-A-a},\text{1-B-a},\text{1-A-b},\text{1- B-b}\}, \tag{1}\]  
where a and b represent the floors above and below relative to the receivers, respectively. VC from the floor below, i.e., VC from 3 F to 4 F, was not recorded, as this source type was barely audible from the floor above (4 F). For obtaining a test dataset from APT I, inter-floor noise was generated at 1-A', 1-B', 1-C, 1-D, and 1-E, as illustrated in Figure 2c. The noise was sampled with the receiver on the floor below (3 F). 1-A' and 1-B' are at the same XY positions as those of 1-A and 1-B, respectively. Therefore, 1-A'-a and 1-B'-a can be considered the same as 1-A-a and 1-B-a from the viewpoint of the receivers. The five source types were generated at these two positions (1-A' and 1-B'). In addition, MB and HH were generated at 1-C, 1-D, and 1-E, where these source types occupy large portion of the identified source types in the complaint analysis [4]. Their positions relative to the receiver position are labeled as  
\[\mathcal{Y}_{\text{p,APT\,1}^{\prime}}=\{\text{1-A'-a},\text{1-B'-a},\text{1- C-a},\text{1-D-a},\text{1-E-a}\}. \tag{2}\]  
Figure 3: Noise source (\(\bigcirc\)) and receiver (\(\square\)) positions used for inter-floor noise generation at APT II. (**a**) Floor plan. (**b**) Building elevation 2 (APT 2). (**c**) Building elevation 2\({}^{\prime}\) (APT 2\({}^{\prime}\)). Union of these two separately labeled data domains, \(\mathcal{D}_{\text{APT 1}}=\{\mathcal{X},\mathcal{Y}_{\text{APT 1}}\}\) and \(\mathcal{D}_{\text{APT 1}^{\prime}}=\{\mathcal{X},\mathcal{Y}_{\text{APT 1}^{\prime}}\}\), are combined and represented as \(\mathcal{D}_{\text{APT 1}}=\{\mathcal{X},\mathcal{Y}_{\text{APT 1}}\}\). Most multi-storey residential buildings have almost the same structure for all floors. However, the deployment of goods, such as furniture can differ on each of the floor and act as uncertainties. The test dataset in \(\mathcal{D}_{\text{APT 1}^{\prime}}=\{\mathcal{X},\mathcal{Y}_{\text{APT 1}^{\prime}}\}\) can be adopted to verify the robustness of a source type classifier or locator against these scenarios. The source types, except VC, were generated at all noise source positions in APT II. Obtaining a training/validation dataset (APT 2 dataset) from APT II was prepared as follows. The four source types were generated at 2-A, 2-B, 2-C, and 2-D and sampled with the receivers on the floor above/below as illustrated in Figure 3b. Their positions relative to the receiver position are labeled as  
\[\mathcal{Y}_{\text{p, APT 2}}=\{\text{2-A-a},\text{2-B-a},\text{2-C-a},\text{2-D- a},\text{2-A-b},\text{2-B-b},\text{2-C-b},\text{2-D-b}\}. \tag{3}\]  
Each data point is at the center of each room or space, e.g., 2-A and 2-C are at the center of the living room and bed room.