24 citations · 80 across the 42 of their papers we have counts for
45 papers
SAIL: Spatial Audio Intelligence with Large Language Models via Disentangled Acoustic-Spatial Encoding and Dual-Stream Q-Former
Zhengding Luo, Jinyang Wu, Haozhe Ma +3
Spatial audio large language models (LLMs) enable embodied agents, wearable assistants, and immersive systems to recognize sound events, localize sources, and reason about their sp…
Coupled Meta-Adaptive Filtering for Active Noise Control Under Time-Varying Acoustic Paths
Boxiang Wang, Zhengding Luo, Ziyi Yang +3
Meta-adaptive filtering (Meta-AF) provides a data-driven alternative to hand-crafted adaptive filter updates by employing a learned optimizer throughout online adaptation. However,…
Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network
Ziyi Yang, Zhengding Luo, Boxiang Wang +2
Conventional active noise control (ANC) minimizes the total disturbance at the error microphone without distinguishing desired sound from noise. Direction-preserving ANC (DP-ANC) i…
Deep Learning-Based Active Trim Panels for Enhanced Aircraft Interior Noise Control
Boxiang Wang, Malte Misol, Zhengding Luo +4
Active noise control (ANC) trim panels offer an effective solution to suppress multi-tonal noise in aircraft. The selective fixed-filter ANC (SFANC) method, characterized by low co…
Model-Agnostic Meta-Learning Initialization for Distributed Multichannel Active Noise Control
Xiaoyi Shen, Junwei Ji, Woon-Seng Gan +2
Distributed multichannel active noise control (DMCANC) has emerged as a scalable framework for large-area noise reduction, where multiple nodes operate local single-channel ANC con…
Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays
Junwei Ji, Woon-Seng Gan, Boxiang Wang +2
Distributed multichannel active noise control (DMCANC) reduces the computational burden of centralized ANC systems by distributing processing tasks across multiple nodes, while req…
Spatial-Frequency Cued Generative Fixed-Filter Active Noise Control Based on Deep Learning in Reverberant Environments
Boxiang Wang, Haowen Li, Dongyuan Shi +4
Generative fixed-filter active noise control (GFANC) effectively attenuates noise with diverse frequency characteristics through the combination of sub control filters. However, it…
Deep Learning-Based Predictive Fixed-Filter Active Noise Control for Dynamic Noises
Zhengding Luo, Haowen Li, Haozhe Ma +3
The existing Generative Fixed-Filter Active Noise Control (GFANC) method generates a suitable control filter based on the current noise frame. This reactive design aims to estimate…
Transformer-based End-to-End Control Filter Generation for Active Noise Control
Ziyi Yang, Zhengding Luo, Yisong Zou +3
To address the limitations of existing Generative Fixed-Filter Active Noise Control (GFANC) methods, which rely on filter decomposition and recombination and require supervised lea…
Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network
Boxiang Wang, Zhengding Luo, Dongyuan Shi +3
Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter bas…
A Novel Monte Carlo Gradient Method Based on Meta-learning for Effective Step-size Selection in Active Noise Control
Luyuan Li, Jisheng Bai, Xiruo Su +3
Active noise control (ANC) is an effective approach to noise suppression, and the filtered-reference least mean square (FxLMS) algorithm is a widely adopted method in ANC systems,…
A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering
Zhengding Luo, Haozhe Ma, Boxiang Wang +3
The Filtered-x Normalized Least Mean Square (FxNLMS) algorithm suffers from slow convergence and a risk of divergence, although it can achieve low steady-state errors after suffici…
Distributed Multichannel Active Noise Control with Asynchronous Communication
Junwei Ji, Dongyuan Shi, Boxiang Wang +3
Distributed multichannel active noise control (DMCANC) offers effective noise reduction across large spatial areas by distributing the computational load of centralized control to…
Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control
Ziyi Yang, Li Rao, Zhengding Luo +3
Active noise control (ANC) must adapt quickly when the acoustic environment changes, yet early performance is largely dictated by initialization. We address this with a Model-Agnos…
Directional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments
Boxiang Wang, Zhengding Luo, Haowen Li +4
Selective fixed-filter active noise control (SFANC) is a novel approach capable of mitigating noise with varying frequency characteristics. It offers faster response and greater co…
DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes
Haowen Li, Zhengding Luo, Dongyuan Shi +4
Direction-of-Arrival (DOA) estimation is critical in spatial audio and acoustic signal processing, with wide-ranging applications in real-world. Most existing DOA models are traine…
Enhancing Situational Awareness in Wearable Audio Devices Using a Lightweight Sound Event Localization and Detection System
Jun-Wei Yeow, Ee-Leng Tan, Santi Peksi +2
Wearable audio devices with active noise control (ANC) enhance listening comfort but often at the expense of situational awareness. However, this auditory isolation may mask crucia…
A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Junwei Ji, Dongyuan Shi, Zhengding Luo +4
Distributed multichannel active noise control (DMCANC) systems assign the high computational load of conventional centralized algorithms across multiple processing nodes, leveragin…
Acoustic Scene Classification Using CNN-GRU Model Without Knowledge Distillation
Ee-Leng Tan, Jun Wei Yeow, Santi Peksi +3
In this technical report, we present the SNTL-NTU team's Task 1 submission for the Low-Complexity Acoustic Scenes and Events (DCASE) 2025 challenge. This submission departs from th…
MAGENTA: Magnitude and Geometry-Enhanced Training Approach for Long-Tailed Sound Event Localization and Detection
Jun-Wei Yeow, Ee-Leng Tan, Santi Peksi +1
Deep learning-based Sound Event Localization and Detection (SELD) systems suffer severe performance degradation in real-world, long-tailed acoustic environments. Standard continuou…
Joint Feature and Output Distillation for Low-complexity Acoustic Scene Classification
Haowen Li, Ziyi Yang, Mou Wang +4
This report presents a dual-level knowledge distillation framework with multi-teacher guidance for low-complexity acoustic scene classification (ASC) in DCASE2025 Task 1. We propos…
Self-Boosted Weight-Constrained FxLMS: A Robustness Distributed Active Noise Control Algorithm Without Internode Communication
Junwei Ji, Dongyuan Shi, Zhengding Luo +2
Compared to the conventional centralized multichannel active noise control (MCANC) algorithm, which requires substantial computational resources, decentralized approaches exhibit h…
Improving Stereo 3D Sound Event Localization and Detection: Perceptual Features, Stereo-specific Data Augmentation, and Distance Normalization
Jun-Wei Yeow, Ee-Leng Tan, Santi Peksi +1
This technical report presents our submission to Task 3 of the DCASE 2025 Challenge: Stereo Sound Event Localization and Detection (SELD) in Regular Video Content. We address the a…
Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs
Jing Yang Lee, Kong-Aik Lee, Woon-Seng Gan
Open-domain Dialogue (OD) exhibits a one-to-many (o2m) property, whereby multiple appropriate responses exist for a single dialogue context. Despite prior research showing that mod…