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

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 834 Results

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
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
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
maskersv2.zip Aug 21, 2023 - ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes ZIP Archive - 211.6 MB - MD5: e541076a3d12e80bbf5cf3b146fafa5b
videos.zip Aug 21, 2023 - ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes ZIP Archive - 2.1 GB - MD5: 71185d96098a43d2da86b7ba8f8b49aa This file contains the raw 360-degree videos of the soundscapes in the test set. These recordings were made by us.
SATP_Stage1_zsm_derived.tab Jul 4, 2023 - Replication Data for: Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu Tabular Data - 45.1 KB - 13 Variables, 567 Observations - UNF:6:7VYftx68rTo8q/8pdBg3iA== Subjective scores for derived-axis attributes

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 -

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

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 -

maskersv2.zip

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

ZIP Archive - 211.6 MB -

videos.zip

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

ZIP Archive - 2.1 GB -

This file contains the raw 360-degree videos of the soundscapes in the test set. These recordings were made by us.

SATP_Stage1_zsm_derived.tab

Jul 4, 2023 - Replication Data for: Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu

Tabular Data - 45.1 KB - 13 Variables, 567 Observations -

Subjective scores for derived-axis attributes

Add Data

Share Dataverse

Link Dataverse

Reset Modifications