Zobrazeno 1 - 10
of 1 134
pro vyhledávání: '"sound detection"'
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 10, Iss 5, Pp 642-654 (2024)
Abstract Passive acoustic monitoring (PAM) is commonly used to obtain year‐round continuous data on marine soundscapes harboring valuable information on species distributions or ecosystem dynamics. This continuously increasing amount of data requir
Externí odkaz:
https://doaj.org/article/5e8fd760d907448385191759efa805c2
Publikováno v:
IEEE Access, Vol 12, Pp 167262-167277 (2024)
Unsupervised anomalous sound detection (ASD) identifies anomalies by learning or estimating normal operational patterns and detecting deviations. This capability is crucial for tasks, such as equipment maintenance and quality control. In this study,
Externí odkaz:
https://doaj.org/article/8c631504262449d1a516601e6f1901d5
Autor:
Eunsun Yun, Minjoong Jeong
Publikováno v:
IEEE Access, Vol 12, Pp 149288-149307 (2024)
Anomaly sound detection (ASD) is a field of research dedicated to the early identification of mechanical failures and the facilitation of preventative maintenance to avert potential hazards and optimize performance. The capability of ASD to detect de
Externí odkaz:
https://doaj.org/article/e15625774a8845bbac4d5795f830aa91
Autor:
Nataliya Shakhovska, Ivan Zagorodniy
Publikováno v:
Computation, Vol 12, Iss 10, p 208 (2024)
Heart murmurs are abnormal heart sounds that can indicate various heart diseases. Although traditional auscultation methods are effective, they depend more on specialists’ knowledge, making it difficult to make an accurate diagnosis. This paper pre
Externí odkaz:
https://doaj.org/article/ae298b60133b4f958aa3c421b34b7354
Autor:
Florin Bogdan MARIN, Mihaela MARIN
Publikováno v:
The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, Vol 46, Iss 4, Pp 85-88 (2023)
Deforestation and illegal logging stand as important environmental problems. In this paper we propose a DNN architecture for sound recognition of chainsaw detection. Various parameters need to be tuned in order to identify the sound of chainsaw but n
Externí odkaz:
https://doaj.org/article/a3d26c43a73d46adbe7dafc0c84ffa28
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-16 (2023)
Abstract Unsupervised anomalous sound detection (ASD) aims to detect unknown anomalous sounds of devices when only normal sound data is available. The autoencoder (AE) and self-supervised learning based methods are two mainstream methods. However, th
Externí odkaz:
https://doaj.org/article/c0d3d3ea44da4230abb5d97f0a48aae8
Publikováno v:
IEEE Access, Vol 11, Pp 105379-105393 (2023)
Sound event localization and detection (SELD) is a combined task that classifies acoustic events from audio signals, estimates temporal boundaries, and identifies event locations. With the advancement of industries utilizing audio signals, SELD has b
Externí odkaz:
https://doaj.org/article/797428ea7ab64231b3a58bea9736134d
Autor:
Yasuji Ota, Masashi Unoki
Publikováno v:
IEEE Access, Vol 11, Pp 70884-70897 (2023)
This paper proposes an anomalous sound detection (ASD) method that uses a combination of timbral metrics and short-term features tailored to industrial machine faults to identify whether the sound emitted from a target machine is anomalous. The timbr
Externí odkaz:
https://doaj.org/article/2cf6c4a44e184390923a180237e09dc4
Autor:
Gbanaibolou Jombo, Yu Zhang
Publikováno v:
Eng, Vol 4, Iss 1, Pp 47-79 (2023)
The traditional means of monitoring the health of industrial systems involves the use of vibration and performance monitoring techniques amongst others. In these approaches, contact-type sensors, such as accelerometer, proximity probe, pressure trans
Externí odkaz:
https://doaj.org/article/c13747e4becd440cb881b2ff96c3e226
Autor:
Marta Solé, Michel André
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/9d67a0cfed91419e94c1bce15ad1e0ec