A decade of DCASE: Achievements, practices, evaluations and future challenges
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Abstract (arXiv)
This paper introduces briefly the history and growth of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge, workshop, research area and research community. Created in 2013 as a data evaluation challenge, DCASE has become a major research topic in the Audio and Acoustic Signal Processing area. Its success comes from a combination of factors: the challenge offers a large variety of tasks that are renewed each year; and the workshop offers a channel for dissemination of related work, engaging a young and dynamic community. At the same time, DCASE faces its own challenges, growing and expanding to different areas. One of the core principles of DCASE is open science and reproducibility: publicly available datasets, baseline systems, technical reports and workshop publications. While the DCASE challenge and workshop are independent of IEEE SPS, the challenge receives annual endorsement from the AASP TC, and the DCASE community contributes significantly to the ICASSP flagship conference and the success of SPS in many of its activities.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2024.
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Citing papers per year: 2025: 4; 2026: 3.
7 papers.
- 2025Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoningcited by 5
- 2025A Survey on World Models Grounded in Acoustic Physical Informationcited by 1
- 2026OpenSTBench: Beyond Semantic Evaluation for Speech Translationcited by 1
- 2026BioDCASE: Active Learning for Bioacousticscited by 1
- 2025GRAM: Spatial general-purpose audio representation models for real-world applicationscited by 0
- 2025Compressing Quaternion Convolutional Neural Networks for Audio Classificationcited by 0
- 2026A strongly annotated passive acoustic dataset for tropical bird monitoringcited by 0
- 2026BioDCASE: Active Learning for Bioacoustics14 Sep 2026
- 2026OpenSTBench: Beyond Semantic Evaluation for Speech Translation29 May 2026
- 2026A strongly annotated passive acoustic dataset for tropical bird monitoring20 May 2026
- 2025Compressing Quaternion Convolutional Neural Networks for Audio Classification24 Oct 2025
- 2025A Survey on World Models Grounded in Acoustic Physical Information16 Jun 2025
- 2025GRAM: Spatial general-purpose audio representation models for real-world applications1 Jun 2025
- 2025Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning12 May 2025