activity
20192026
most citedARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes

24 citations · 80 across the 42 of their papers we have counts for

collaborators
Showing 2024Show all

13 papers · 1 filter

eess.SY2024

Preventing output saturation in active noise control: An output-constrained Kalman filter approach

Junwei Ji, Dongyuan Shi, Boxiang Wang +3

The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in…

eess.AS2024

AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language Models

Jisheng Bai, Haohe Liu, Mou Wang +5

With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to th…

cs.SD2024

Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction

Jin Jie Sean Yeo, Ee-Leng Tan, Jisheng Bai +2

In this technical report, we describe the SNTL-NTU team's submission for Task 1 Data-Efficient Low-Complexity Acoustic Scene Classification of the detection and classification of a…

eess.SP2024★ 4 cited

Real-Time Sound Event Localization and Detection: Deployment Challenges on Edge Devices

Jun Wei Yeow, Ee-Leng Tan, Jisheng Bai +2

Sound event localization and detection (SELD) is critical for various real-world applications, including smart monitoring and Internet of Things (IoT) systems. Although deep neural…

eess.SP2024

Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning

Boxiang Wang, Dongyuan Shi, Zhengding Luo +3

Virtual sensing (VS) technology enables active noise control (ANC) systems to attenuate noise at virtual locations distant from the physical error microphones. Appropriate auxiliar…

eess.AS2024

A Real-Time Platform for Portable and Scalable Active Noise Mitigation for Construction Machinery

Woon-Seng Gan, Santi Peksi, Chung Kwan Lai +3

This paper introduces a novel portable and scalable Active Noise Mitigation (PSANM) system designed to reduce low-frequency noise from construction machinery. The PSANM system cons…

eess.AS2024★ 1 cited

Squeeze-and-Excite ResNet-Conformers for Sound Event Localization, Detection, and Distance Estimation for DCASE 2024 Challenge

Jun Wei Yeow, Ee-Leng Tan, Jisheng Bai +2

This technical report details our systems submitted for Task 3 of the DCASE 2024 Challenge: Audio and Audiovisual Sound Event Localization and Detection (SELD) with Source Distance…

eess.AS2024★ 15 cited

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

Bhan Lam, Zhen-Ting Ong, Kenneth Ooi +10

Formalized in ISO 12913, the "soundscape" approach is a paradigmatic shift towards perception-based urban sound management, aiming to alleviate the substantial socioeconomic costs…

eess.SP2024

Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm

Boxiang Wang, Junwei Ji, Xiaoyi Shen +2

Multichannel active noise control (ANC) systems are designed to create a large zone of quietness (ZoQ) around the error microphones, however, the placement of these microphones oft…

eess.AS2024

A Survey of Integrating Wireless Technology into Active Noise Control

Xiaoyi Shen, Dongyuan Shi, Zhengding Luo +2

Active Noise Control (ANC) is a widely adopted technology for reducing environmental noise across various scenarios. This paper focuses on enhancing noise reduction performance, pa…

eess.AS2024★ 5 cited

Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift

Jisheng Bai, Mou Wang, Haohe Liu +11

Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an envir…

eess.SP2024★ 7 cited

Unsupervised learning based end-to-end delayless generative fixed-filter active noise control

Zhengding Luo, Dongyuan Shi, Xiaoyi Shen +1

Delayless noise control is achieved by our earlier generative fixed-filter active noise control (GFANC) framework through efficient coordination between the co-processor and real-t…

eess.AS2024

Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music

Han Yin, Mou Wang, Jisheng Bai +3

This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better perf…