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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3022058
Abstract: Sound event detection (SED) is a reasonable choice in a number of application domains including cattle sheds, dense forests, or any dark environments where visual objects are usually concealed or invisible. This study presents an…
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Keywords:
sound event;
visual object;
cow sound;
event detection ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3113903
Abstract: The lack of strongly labeled data can limit the potential of a Sound Event Detection (SED) system trained using deep learning approaches. To address this issue, this paper proposes a novel method to approximate strong…
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Keywords:
system;
methodology;
sound event;
challenge ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3126004
Abstract: Sound event classification is starting to receive a lot of attention over the recent years in the field of audio processing because of open datasets, which are recorded in various conditions, and the introduction of…
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Keywords:
feedback module;
event classification;
classification;
sound event ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3231681
Abstract: The objective of a sound event detector is to recognize anomalies in an audio clip and return their onset and offset. However, detecting sound events in noisy environments is a challenging task. This is due…
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Keywords:
detection human;
event;
sound event;
event detection ... See more keywords
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Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3098325
Abstract: Sound event detection (SED) and acoustic scene classification (ASC) are two key tasks related to each other in the field of computational auditory scene analysis. For example, during sound event detection, scene information can be…
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Keywords:
scene;
sound event;
event detection;
approach ... See more keywords
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Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0214168
Abstract: Bioacoustic sensors, sometimes known as autonomous recording units (ARUs), can record sounds of wildlife over long periods of time in scalable and minimally invasive ways. Deriving per-species abundance estimates from these sensors requires detection, classification,…
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Keywords:
sound event;
network;
time;
event detection ... See more keywords
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Published in 2018 at "Symmetry"
DOI: 10.3390/sym10090402
Abstract: Sound-event classification has emerged as an important field of research in recent years. In particular, investigations using sound data are being conducted in various industrial fields. However, sound-event classification tasks have become more difficult and…
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Keywords:
classification;
sound event;
noise robust;
sound ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020366
Abstract: Polyphonic sound event detection (SED) is the task of detecting the time stamps and the class of sound event that occurred during a recording. Real life sound events overlap in recordings, and their durations vary…
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Keywords:
event;
event detection;
sound event;
self attention ... See more keywords