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Enhanced Sound Event Localization and Detection in Real 360-degree audio-visual soundscapes

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arxiv 2401.17129 v1 pith:WCKI535E submitted 2024-01-29 cs.SD cs.AIeess.AS

Adrian S. Roman , Baladithya Balamurugan , Rithik Pothuganti This is my paper · ORCID
classification cs.SDcs.AIeess.AS
keywords audio-visualaudio-onlybuilddatadetectionenhancedeventlocalization
verification ladder T0 review T1 audit T2 compute T3 formal
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This technical report details our work towards building an enhanced audio-visual sound event localization and detection (SELD) network. We build on top of the audio-only SELDnet23 model and adapt it to be audio-visual by merging both audio and video information prior to the gated recurrent unit (GRU) of the audio-only network. Our model leverages YOLO and DETIC object detectors. We also build a framework that implements audio-visual data augmentation and audio-visual synthetic data generation. We deliver an audio-visual SELDnet system that outperforms the existing audio-visual SELD baseline.

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  1. Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos

    eess.AS 2025-07 conditional novelty 5.0 of 10

    Fusing frozen CLAP and OWL-ViT embeddings via a Cross-Modal Conformer, plus autocorrelation-based features, improves stereo SELD over DCASE 2025 baselines.

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