Zhen-Ting Ong

Orcid: 0000-0002-1249-4760

According to our database1, Zhen-Ting Ong authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes.
IEEE Trans. Affect. Comput., 2024

Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas.
CoRR, 2024

2023
Preliminary investigation of the short-term in situ performance of an automatic masker selection system.
CoRR, 2023

Anti-noise window: Subjective perception of active noise reduction and effect of informational masking.
CoRR, 2023

Autonomous Soundscape Augmentation with Multimodal Fusion of Visual and Participant-Linked Inputs.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain.
IEEE Signal Process. Lett., 2022

Assessment of a cost-effective headphone calibration procedure for soundscape evaluations.
CoRR, 2022

Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering.
CoRR, 2022

Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu.
CoRR, 2022

Preliminary assessment of a cost-effective headphone calibration procedure for soundscape evaluations.
CoRR, 2022

Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation.
CoRR, 2022

Quantitative Evaluation Approach for Translation of Perceptual Soundscape Attributes: Initial Application to the Thai Language.
CoRR, 2022

Probably Pleasant? A Neural-Probabilistic Approach to Automatic Masker Selection for Urban Soundscape Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021


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