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Showing Audio understanding Show all papers

57%Worth a look
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HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection

Yuhang Zhang, Yang Li, Mingyuan Li, Qiang Wu

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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WavNAF: Learning Wave Propagation Priors for Neural Acoustic Fields

Taeho Kim, Hyunjun Kim, MinKyu Lee, SuBeen Lee and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
69%Highly rated
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Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection

Jianqiao Cui, haoxian zhu, Yanghao Zhang, Hanbiao Meng

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
45%Niche pick
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What Sound Tells You About the Room

Yiduo Hao, Yiwei Tang, Jiayang Li, Zitong Lan and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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Progressive Layer-wise Supervision: Deep-to-Shallow Supervision Annealing for Efficient and Robust Speech Deepfake Detection

Hoan My Tran, Xin Wang, Xuechen Liu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
88%Must read
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Asymmetric Phase Coding Audio Watermarking

Asymmetric Phase Coding embeds Ed25519 signatures into audio via phase-bin QIM for blind, training-free cryptographic verification resilient to cropping, compression, and resampling.

Guang Yang, Fengchen Liu, Amir Ghasemian, Zhong Wang and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
83%Must read
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MAST: Label-Efficient, Robust, and Generalizable Sound Detection for Biodiversity Monitoring via Masked Audio Pretraining and Self-Training

MAST combines masked audio pretraining and self-training to improve sound detection across ecological domains, achieving substantial cross-site gains with minimal labeled data.

Tianyi Xu, Daniel Pimentel-Alarcón, Zuzana Buřivalová, Claudia Solis-Lemus

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5