mlsanityData to 14 Oct 2026

AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition

arXiv 2308.15726 ↗First posted 30 Aug 2023cs.SD cs.AI eess.AScited by 0

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Abstract (arXiv)

Environmental sound scene and sound event recognition is important for the recognition of suspicious events in indoor and outdoor environments (such as nurseries, smart homes, nursing homes, etc.) and is a fundamental task involved in many audio surveillance applications. In particular, there is no public common data set for the research field of sound event recognition for the data set of the indoor environmental sound scene. Therefore, this paper proposes a data set (called as AGS) for the home environment sound. This data set considers various types of overlapping audio in the scene, background noise. Moreover, based on the proposed data set, this paper compares and analyzes the advanced methods for sound event recognition, and then illustrates the reliability of the data set proposed in this paper, and studies the challenges raised by the new data set. Our proposed AGS and the source code of the corresponding baselines at https://github.com/taolunzu11/AGS .

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 36 references that are in the map. First posted on arXiv 30 Aug 2023.

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References · 17

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5 more
  1. 2019Learning Actor Relation Graphs for Group Activity Recognitioncited by 83
  2. 2016Very Deep Convolutional Neural Networks for Raw Waveformscited by 68
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  5. 2019Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detectioncited by 4

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