Digital Signal Processing Laboratory

This dataverse contains data for projects conducted by the Digital Signal Processing Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University. Please feel free to visit our public Github page as well! Link: https://github.com/ntudsp

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1 to 10 of 851 Results

Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears Sep 11, 2024 Lam, Bhan, 2024, "Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears", https://doi.org/10.21979/N9/8GHNGX, DR-NTU (Data), V1 This dataset contains the following data tables: timeSeries1sec.csv: Computed acoustic metric scores across all microphones and measurement positions The variables contained in the data table are detailed below: location: [Factor w/ 2 levels: "NICU", "HD"] Variable for the locati...
timeSeries1sec.csv Sep 11, 2024 - Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears Comma Separated Values - 3.4 GB - MD5: ce99fd199760d644f6147a6f66799832
Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas Jul 6, 2024 Lam, Bhan; Ong, Zhen-Ting; Ooi, Kenneth; Boey, Vanessa; Lee, Irene; Gan, Woon-Seng, 2024, "Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas", https://doi.org/10.21979/N9/NEH5TR, DR-NTU (Data), V1, UNF:6:9KOXblQ6z2TXvHhC2clk1w== [fileUNF] This dataset contains the following data tables: amss_insitu_participant_data.csv: Participant responses to site evaluation comb_obj_insitu_session_data.csv: Per session combined objective acoustic measurement and subjective response data The variables contained in each data tabl...
amss_insitu_participant_data.tab Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas Tabular Data - 55.0 KB - 90 Variables, 205 Observations - UNF:6:52pESJGuyfEQILbc8nImyQ== Participant responses to site evaluation questionnaire and participant information questionnaire
comb_obj_insitu_session_data.tab Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas Tabular Data - 33.3 KB - 10 Variables, 440 Observations - UNF:6:auze+RNDNLrv5GvfQpfEWg== Per session combined objective acoustic measurement and subjective response data
enviro_session_data.tab Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas Tabular Data - 4.2 KB - 9 Variables, 68 Observations - UNF:6:DLP7Ahd3xy0l7c3DDjEBew== Environmental data logged during the 10-min listening period per session
fullData.RData Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas R Data - 21.0 KB - MD5: 9cb65580c64235ae0119048ad9646203 RData file containing all the csv files in this repository as individual dataframes
predict_session_data.tab Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas Tabular Data - 19.3 KB - 3 Variables, 481 Observations - UNF:6:bFsD8nvT4ywfzYFWDh7zqA== Predicted bird maskers logged during the 10-min listening period per session
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes Aug 21, 2023 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), V4 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...
datav2.zip Aug 21, 2023 - ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes ZIP Archive - 11.6 MB - MD5: 0f01045234451111e7848e9855bdeff3

Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears

Sep 11, 2024

Lam, Bhan, 2024, "Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears", https://doi.org/10.21979/N9/8GHNGX, DR-NTU (Data), V1

This dataset contains the following data tables: timeSeries1sec.csv: Computed acoustic metric scores across all microphones and measurement positions The variables contained in the data table are detailed below: location: [Factor w/ 2 levels: "NICU", "HD"] Variable for the locati...

timeSeries1sec.csv

Sep 11, 2024 - Replication Data for: Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates' ears

Comma Separated Values - 3.4 GB -

Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Jul 6, 2024

Lam, Bhan; Ong, Zhen-Ting; Ooi, Kenneth; Boey, Vanessa; Lee, Irene; Gan, Woon-Seng, 2024, "Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas", https://doi.org/10.21979/N9/NEH5TR, DR-NTU (Data), V1, UNF:6:9KOXblQ6z2TXvHhC2clk1w== [fileUNF]

This dataset contains the following data tables: amss_insitu_participant_data.csv: Participant responses to site evaluation comb_obj_insitu_session_data.csv: Per session combined objective acoustic measurement and subjective response data The variables contained in each data tabl...

amss_insitu_participant_data.tab

Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Tabular Data - 55.0 KB - 90 Variables, 205 Observations -

Participant responses to site evaluation questionnaire and participant information questionnaire

comb_obj_insitu_session_data.tab

Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Tabular Data - 33.3 KB - 10 Variables, 440 Observations -

Per session combined objective acoustic measurement and subjective response data

enviro_session_data.tab

Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Tabular Data - 4.2 KB - 9 Variables, 68 Observations -

Environmental data logged during the 10-min listening period per session

fullData.RData

Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

R Data - 21.0 KB -

RData file containing all the csv files in this repository as individual dataframes

predict_session_data.tab

Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas

Tabular Data - 19.3 KB - 3 Variables, 481 Observations -

Predicted bird maskers logged during the 10-min listening period per session

ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes

Aug 21, 2023

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), V4

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...

datav2.zip

Aug 21, 2023 - ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes

ZIP Archive - 11.6 MB -

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