681 to 690 of 851 Results
Jul 5, 2022 -
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes
ZIP Archive - 1.7 GB -
MD5: 25ea9336f7145a28d704b84a8dfb5216
This file is an archival copy of the raw binaural recordings of soundscapes in the Urban Soundscapes of the World (USotW) database. Please contact the USotW team at https://urban-soundscapes.org/contact/ if you wish to obtain a copy of the recordings. |
Jul 5, 2022 -
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes
ZIP Archive - 28.0 MB -
MD5: 542ecb337d550423cb71ce19dea59ee6
This file contains the raw binaural recordings of soundscapes (resampled to 44.1 kHz) in the test set. These recordings were made by us. |
Jun 14, 2022
Ooi, Kenneth; Lam, Bhan; Hong, Joo Young; Watcharasupat, Karn N.; Ong, Zhen-Ting; Gan, Woon-Seng, 2022, "Replication Data for: Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering", https://doi.org/10.21979/N9/BBBPMO, DR-NTU (Data), V1, UNF:6:KzYyK4KiBnggaHuk9R2Lpg== [fileUNF]
This dataset contains the data used for all statistical analysis in our publication "Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering", summarised in a single .csv file. For more details on... |
Tabular Data - 62.3 KB - 16 Variables, 402 Observations - UNF:6:KzYyK4KiBnggaHuk9R2Lpg==
|
Comma Separated Values - 42.3 KB -
MD5: 9b730a7a334160733fb45d94c0325561
Survey responses for stage 1e quantitative evaluation in "Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu" |
Apr 28, 2022
Lam, Bhan; Fan, Esther Monica Peijin; Ooi, Kenneth; Ong, Zhen-Ting; Hong, Joo Young; Ang, Shin Yuh, 2022, "Replication Data for: Assessing the perceived indoor acoustic environment quality across building occupants in a tertiary-care public hospital in Singapore", https://doi.org/10.21979/N9/YSQNDY, DR-NTU (Data), V1, UNF:6:01rumVKEC1CZjOvRph904Q== [fileUNF]
This dataset contains survey data collected from Nov 2020 to Jan 2021 to access the perceived indoor acoustic environment quality across building occupants in a tertiary-care public hospital in Singapore |
Tabular Data - 27.4 KB - 48 Variables, 273 Observations - UNF:6:01rumVKEC1CZjOvRph904Q==
Survey Data |
Jan 28, 2022
Ooi, Kenneth; Watcharasupat, Karn N.; Lam, Bhan; Ong, Zhen-Ting; Gan, Woon-Seng, 2022, "Dataset for: Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation", https://doi.org/10.21979/N9/YSJQKD, DR-NTU (Data), V1
This dataset contains the log-mel spectrograms for the augmented soundscapes described in our ICASSP 2022 submission "Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation", in .npy format. The data can be accessed usin... |
Jan 28, 2022 -
Dataset for: Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation
Unknown - 15.1 MB -
MD5: a9142e6e5e268cfa00a3b821d1eb96c1
|
Jan 28, 2022 -
Dataset for: Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation
Unknown - 512 B -
MD5: 9f42d9207cd4cc57ca26361cb34e8730
|
