Woon Seng Gan
Professor
Works on active noise control for hearables and open windows, spatial audio processing and AI for sound.
Woon Seng Gan's lab at NTU works on music, audio & sound and speech enhancement & signal processing. 64 papers since 2023, 9 at top venues, mostly ICASSP and Neural Networks.
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 14%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 24 papers2025 · T1 2
- 16 papers2024 · T1 1
- 20 papers2023 · T1 6
T1 venuesOtherVenues: ICASSP, Neural Networks, TAFFC, ICME
Research focuspaper titles that use each topic's words
- noise35 papers
- Music, audio & sound9 papers
- Speech enhancement & signal processing2 papers
- hearables0 papers
- spatial audio0 papers
Paper list
From the lab homepage and DBLP.
20264 papers
- IEEE Signal Process. Lett.A Practical Data-Driven Step-Size Selection Method for Adaptive Active Noise Control Based on Modified Meta-Learning (opens in a new tab)
- Signal Process.Reinforcement learning-based selective fixed-filter active noise control (RL-SFANC): From theory to real-time headphone implementation (opens in a new tab)
- Signal Process.Spatial-frequency cued generative fixed-filter active noise control based on deep learning in reverberant environments (opens in a new tab)
- IEEE Signal Process. Lett.WINTER: Wrapped Interval Normalization for Elevation Representation in Stereo 3-D Sound Event Localization and Detection (opens in a new tab)
202524 papers
- APSIPAA Robust Proactive Communication Strategy for Distributed Active Noise Control Systems (opens in a new tab)
- APSIPAApplying Model-Agnostic Meta-Learning with Iterative Dichotomiser 3 for Alternating-Switching Active Noise Control Systems (opens in a new tab)
- —AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language Models
- —Co-forecasting of Time-varying Spatial-frequency Map for Selective Fixed-Filter Multichannel ANC based on Dynamic Factor Graph
- TAFFCCorrigendum to "ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes" (opens in a new tab)
- IEEE Signal Process. Lett.Data-driven Method to Accelerate Convergence of Adaptive Hybrid Active Noise Control: Two-stage Model Agnostic Meta-Learning (opens in a new tab)
- APSIPADirectional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments (opens in a new tab)
- —Do neonates hear what we measure? Assessing neonatal ward soundscapes at the neonates’ ears
- APSIPADOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes (opens in a new tab)
- —Enhancing 3D Sound Event Localization and Detection with Distance Estimation Using Reverberation and Spatial Coherence Features
- —Environmental acoustic intelligence through sound event localization and detection: a review
- —Frequency-Direction Aware Multichannel Selective Fixed-Filter Active Noise Control based on Multi-Task Learning
202416 papers
- APSIPAA Real-Time Platform for Portable and Scalable Active Noise Mitigation for Construction Machinery (opens in a new tab)
- Signal Process.A survey on adaptive active noise control algorithms overcoming the output saturation effect (opens in a new tab)
- ICMEAudiolog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning (opens in a new tab)
- —Automating Urban Soundscape Enhancements with AI: In-situ assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
- Neural NetworksGFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control (opens in a new tab)
- IEEE Commun. Mag.Guest Editorial: Internet of Sounds (opens in a new tab)
- —Implementation of minimum output variance filtered reference least mean square algorithm with optimal time-varying penalty factor estimate to overcome output saturation
- —Lion city soundscapes: Modified partitioning around medoids for a perceptually diverse dataset of Singaporean soundscapes
- Signal Process.Multi-granularity acoustic information fusion for sound event detection (opens in a new tab)
- —Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control
- —Soundscape descriptors in 18 languages: Translation and Validation through Listening experiments
- IEEE Signal Process. Lett.Spatial-frequency-based Selective Fixed-filter algorithm for Multichannel Active Noise Control (opens in a new tab)
202320 papers
- SN Comput. Sci.A Dual Latent Variable Personalized Dialogue Agent (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.A Frequency-domain Output-constrained Active Noise Control Algorithm Based on An Intuitive Circulant Convolutional Penalty Factor (opens in a new tab)
- ICASSP (T1)A Momentum Two-Gradient Direction Algorithm with Variable Step Size Applied to Solve Practical Output Constraint Issue for Active Noise Control (opens in a new tab)
- ICASSP (T1)A Practical Distributed Active Noise Control Algorithm Overcoming Communication Restrictions (opens in a new tab)
- —Anti-noise window: Subjective perception of active noise reduction and effect of informational masking
- TAFFCARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes (opens in a new tab)
- ICASSP (T1)Autonomous Soundscape Augmentation with Multimodal Fusion of Visual and Participant-Linked Inputs (opens in a new tab)
- —B Lam, WS Gan et al., ‘Crossing the linguistic causeway: Ethnonational Difference on Soundscape Attributes in Bahasa Melayu,” Applied Acoustics 214, 109675.
- —Computation-efficient solution for fully-connected active noise control window: Analysis and implementation of multichannel adjoint least mean square algorithm
- ICASSP (T1)Deep Generative Fixed-Filter Active Noise Control (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Delayless Generative Fixed-filter Active Noise Control based on Deep Learning and Bayesian Filter (opens in a new tab)
- IEEE Signal Process. Lett.GFANC-Kalman: Generative Fixed-Filter Active Noise Control with CNN-Kalman Filtering (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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