Results 11 to 20 of about 860,247 (286)
A Review of Automated Bioacoustics and General Acoustics Classification Research
Sensors, 2022 Automated bioacoustics classification has received increasing attention from the research community in recent years due its cross-disciplinary nature and its diverse application.
Leah Mutanu +4 more
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Methods in Ecology and Evolution, 2022 Passive acoustic monitoring, a non‐invasive technique, is increasingly used to study animal populations and habitats at much larger spatial and temporal scales than standard methods.
Bruno Silva +4 more
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Applied Sciences, 2023 The use of continuous monitoring systems to control aspects such as noise pollution has grown in recent years. The commercial monitoring systems used to date only provide information on noise levels but do not identify the noise sources that generate ...
Itxasne Diez +4 more
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Monitoring Illegal Tree Cutting through Ultra-Low-Power Smart IoT Devices
Sensors, 2021 Forests play a fundamental role in preserving the environment and fighting global warming. Unfortunately, they are continuously reduced by human interventions such as deforestation, fires, etc.
Alessandro Andreadis +2 more
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Automatic fish sounds classification [PDF]
Journal of the Acoustical Society of America, 2016 The context of this work is environmental monitoring. Specifically, we focus on acoustic systems for monitoring fish populations. By investigating the recorded sounds of fishes, it is possible to monitor the spatial and temporal evolution of fish populations. The aim of this work is to present an automatic fish sounds classification system.
Malfante, Marielle +3 more
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RETRACTED: Sound Classification Using Python [PDF]
ITM Web of Conferences, 2021 We take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of ...
Jadhav Swapnil, Karpe Sarvesh, Das Siuli
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Pitch Based Sound Classification [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, fea tures are created and used in a probabilistic model with soft max output function.
Andreas Brinch Nielsen +2 more
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Environment Sound Classification System Based on Hybrid Feature and Convolutional Neural Network
Xibei Gongye Daxue Xuebao, 2020 At present, the environment sound recognition system mainly identifies environment sounds with deep neural networks and a wide variety of auditory features.
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Safety in Cities and Transport through Sound Monitoring
Communications, 2022 This paper deals with the use of modern technology for security purposes, focusing on the situation in cities (urban noise and shooting) and in transport (passenger rail).
Dalibor Smažinka, Martin Hrinko
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Deep Wavelets for Heart Sound Classification [PDF]
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019 Cardiovascular diseases have a high morbidity, and remain the leading cause of mortality. In the past two decades, developing an intelligent auscultation system has attracted tremendous efforts from the field of signal processing and machine learning. We propose a novel framework based on wavelet representations and deep recurrent neural networks for ...
Kun Qian 0003 +5 more
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