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1 to 10 of 10 Results
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes
Dec 1, 2022
Ooi, Kenneth; Ong, Zhen-Ting; Watcharasupat, Karn N.; Lam, Bhan; Hong, Joo Young; Gan, Woon-Seng, 2022, "ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes", https://doi.org/10.21979/N9/9OTEVX, DR-NTU (Data), V3
This repository contains the ARAUS dataset, a publicly-available dataset (comprising a 5-fold training/validation set and an independent test set) of 25,440 unique subjective perceptual responses to augmented soundscapes presented as audio-visual stimuli. Each augmented soundscap...
Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations
Jul 20, 2022
Ooi, Kenneth Wen Rui, 2022, "Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations", https://doi.org/10.21979/N9/AUE2LL, DR-NTU (Data), V1, UNF:6:+bKZThZpX0CDwHcmYaODfA== [fileUNF]
This dataset contains the data used for all statistical comparisons in our ICSV 2022 submission "Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations", summarised in a single .csv file. To obtain the data in this dataset, 17 participants were...
Replication Data for: Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies
Jul 16, 2022
Zhen-Ting, Ong; Lam, Bhan; Ooi, Kenneth; Watcharasupat, Karn N.; Wong, Trevor; Gan, Woon-Seng, 2022, "Replication Data for: Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies", https://doi.org/10.21979/N9/JQDI6F, DR-NTU (Data), V1, UNF:6:ZGyS8J0wyCO6G/1Hq+VmvQ== [fileUNF]
Participant data
Replication Data for: Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering
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...
Replication Data for: Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu
Jun 6, 2022
Lam, Bhan; Chieng, Julia; Watcharasupat, Karn N.; Ooi, Kenneth; Ong, Zhen-Ting; Hong, Joo Young; Gan, Woon-Seng, 2022, "Replication Data for: Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu", https://doi.org/10.21979/N9/0NE37R, DR-NTU (Data), V1
This dataset contains survey data collected from October to November 2021.
Replication Data for: Assessing the perceived indoor acoustic environment quality across building occupants in a tertiary-care public hospital in Singapore
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
Dataset for: Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation
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...
SINGA:PURA (SINGApore: Polyphonic URban Audio)
Sep 4, 2021
Ooi, Kenneth; Watcharasupat, Karn N.; Peksi, Santi; Ong, Zhen-Ting; Chua, Darren; Leow, Hui-Wen; Kwok, Li-Long; Ng, Xin-Lei; Loh, Zhen-Ann; Gan, Woon-Seng, 2021, "SINGA:PURA (SINGApore: Polyphonic URban Audio)", https://doi.org/10.21979/N9/Y8UQ6F, DR-NTU (Data), V1, UNF:6:QFGevQqeXTSQlP0uvTMOhg== [fileUNF]
This repository contains the SINGA:PURA dataset, a strongly-labelled polyphonic urban sound dataset with spatiotemporal context. The data were collected via a number of recording units deployed across Singapore as a part of a wireless acoustic sensor network. These recordings wer...
Supplementary Material for: Automation of binaural headphone audio calibration on an artificial head
Feb 5, 2021 - Lam Bhan
Ooi, Kenneth; Xie, Yonggang; Lam, Bhan; Gan, Woon-Seng, 2020, "Supplementary Material for: Automation of binaural headphone audio calibration on an artificial head", https://doi.org/10.21979/N9/0KYIAU, DR-NTU (Data), V3, UNF:6:nKSkZIaj0mswuaVB1Qh/4g== [fileUNF]
This repository contains the LabVIEW source code for the MethodsX paper, "Automation of binaural headphone audio calibration on an artificial head".
Replication Data for: A mixed-reality approach to soundscape assessment of outdoor urban environments augmented with natural sounds
Nov 12, 2020 - Lam Bhan
Hong, Joo Young; Lam, Bhan; Ong, Zhen Ting; Ooi, Kenneth; Gan, Woon-Seng; Kang, Jian; Yeong, Samuel; Lee, Irene; Tan, Sze-Tiong, 2020, "Replication Data for: A mixed-reality approach to soundscape assessment of outdoor urban environments augmented with natural sounds", https://doi.org/10.21979/N9/KE0901, DR-NTU (Data), V1, UNF:6:wKQNPSc4UpJbQkkJzKo/ow== [fileUNF]
Participant responses
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