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Cited by 268

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Sound Event Detection: A tutorial

Open access
Mesaros, Annamaria, Heittola, Toni, Virtanen, Tuomas, Plumbley, Mark D.·2021·IEEE Signal Processing Magazine

Abstract

Imagine standing on a street corner in the city. With your eyes closed you can hear and recognize a succession of sounds: cars passing by, people speaking, their footsteps when they walk by, and the continuous falling of rain. The recognition of all these sounds and interpretation of the perceived scene as a city street soundscape comes naturally to humans. It is, however, the result of years of "training": encountering and learning associations among the vast varieties of sounds in everyday life, the sources producing these sounds, and the names given to them.

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Crossref · 10.1109/msp.2021.3090678

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Metadata

Authors
Mesaros, A., Heittola, T., Virtanen, T., & Plumbley, M. D.
Venue
IEEE Signal Processing Magazine
Published
2021-09
Volume
38
Issue
5
Pages
67-83
ISSN
  • 1053-5888 (ISSN-L)
  • 1558-0792
OpenAlex
W3178592608
Cited by
268
References
37
FWCI
17.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sound Event Detection: A tutorial. https://app.cochat.ai/papers/10.1109/msp.2021.3090678
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Mesaros, A., Heittola, T., Virtanen, T., & Plumbley, M. D. (2021). Sound Event Detection: A tutorial. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2021.3090678

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.