activity
20202024
most citedA Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning

77 citations · 473 across the 39 of their papers we have counts for

collaborators
Showing 2022Show all

12 papers · 1 filter

cs.LG2022★ 1 cited

Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks

Zhengding Luo, Dongyuan Shi, Woon-Seng Gan

Due to its rapid response time and a high degree of robustness, the selective fixed-filter active noise control (SFANC) method appears to be a viable candidate for widespread use i…

eess.SY2022★ 9 cited

Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism

Zhengding Luo, Dongyuan Shi, Junwei Ji +1

Active noise control (ANC) systems can efficiently attenuate low-frequency noises by introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x lea…

eess.SY2022★ 77 cited

A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning

Zhengding Luo, Dongyuan Shi, Woon-Seng Gan

The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can achieve a fast response time. However,…

eess.AS2022★ 4 cited

Assessment of a cost-effective headphone calibration procedure for soundscape evaluations

Bhan Lam, Kenneth Ooi, Zhen-Ting Ong +3

To increase the availability and adoption of the soundscape standard, a low-cost calibration procedure for reproduction of audio stimuli over headphones was proposed as part of the…

eess.AS2022

Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies

Zhen-Ting Ong, Bhan Lam, Kenneth Ooi +3

Studies involving soundscape perception often exclude participants with hearing loss to prevent impaired perception from affecting experimental results. Participants are typically…

cs.LG2022★ 8 cited

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

Kenneth Ooi, Bhan Lam, Joo Young Hong +3

The ecological validity of soundscape studies usually rests on a choice of soundscapes that are representative of the perceptual space under investigation. For example, a soundscap…

cs.SD2022★ 1 cited

FRCRN: Boosting Feature Representation using Frequency Recurrence for Monaural Speech Enhancement

Shengkui Zhao, Bin Ma, Karn N. Watcharasupat +1

Convolutional recurrent networks (CRN) integrating a convolutional encoder-decoder (CED) structure and a recurrent structure have achieved promising performance for monaural speech…

stat.AP2022★ 24 cited

Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu

Bhan Lam, Julia Chieng, Karn N. Watcharasupat +4

Translation of perceptual descriptors such as the perceived affective quality attributes in the soundscape standard (ISO/TS 12913-2:2018) is an inherently intricate task, especiall…

eess.AS2022★ 6 cited

Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation

Trevor Wong, Karn N. Watcharasupat, Bhan Lam +4

Soundscape augmentation is an emerging approach for noise mitigation by introducing additional sounds known as "maskers" to increase acoustic comfort. Traditionally, the choice of…

eess.AS2022★ 7 cited

Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain

Karn N. Watcharasupat, Kenneth Ooi, Bhan Lam +3

The selection of maskers and playback gain levels in a soundscape augmentation system is crucial to its effectiveness in improving the overall acoustic comfort of a given environme…

cs.SD2022★ 27 cited

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

Karn N. Watcharasupat, Sureenate Jaratjarungkiat, Bhan Lam +8

Translation of perceptual soundscape attributes from one language to another remains a challenging task that requires a high degree of fidelity in both psychoacoustic and psycholin…

cs.CL2022

Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents

Jing Yang Lee, Kong Aik Lee, Woon Seng Gan

In recent years, latent variable models, such as the Conditional Variational Auto Encoder (CVAE), have been applied to both personalized and empathetic dialogue generation. Prior w…