Active noise control
Adaptive control, multichannel secondary-path modelling, causality/coherence analysis, ANC windows, headrests, ducts and portable platforms.
ANCFxLMSmultichannel
Audio, acoustics, signal processing and AI
Open research resources from the NTU DSP Lab.
A curated gateway to the laboratory’s publications, datasets, source code, demonstrations and reproducible research outputs in active noise control, spatial audio, soundscape analysis and machine listening.
Research themes
Our work connects physical acoustics, statistical signal processing and AI methods to build practical audio systems for real-world environments.
AI for sound
Sound event detection and localization, acoustic scene analysis, source separation and robust machine listening for urban and indoor sound.
SELDSEDdeep learning
Soundscape and intervention
Human-centred soundscape assessment, augmentation, acoustic comfort and soundscape-informed control strategies for built environments.
soundscapeperceptionaugmentation
Spatial audio
Spatial capture, sound-field representation, HRTF modelling, virtual/augmented acoustic environments and spatial auditory intelligence.
spatial audioHRTFarrays
Datasets and reproducibility
Open datasets, baseline models, calibration resources, visualisation tools and publication-linked code releases.
databenchmarksopen science
Urban acoustic sensing
Distributed sensing, long-term sound monitoring, sound maps, event-driven edge inference and environment-aware audio analytics.
sensingIoTedge AI
Featured resources
Datasets, source code and tools are grouped for faster discovery. The publication list is now served locally from this public GitHub Pages repository.
Datasets and benchmarks
Software and demonstrations
Publications
Searchable publication entries are loaded from publication_list.txt in this same public website repository. This avoids private-repository access errors and GitHub raw-file rate limits.
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Source code repositories
Selected public repositories and project resources from the NTU DSP GitHub organization.
Collaborate with us
For collaboration, dataset access, code reuse or publication-related queries, visit the GitHub organization and relevant project repositories. Repository-specific issues are the preferred route for reproducible technical questions.