Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Audio recognition"'
Autor:
Singer, Howie, author, Rosenblatt, Bill, author
Publikováno v:
Key Changes : The Ten Times Technology Transformed the Music Industry, 2023.
Externí odkaz:
https://doi.org/10.1093/oso/9780197656891.003.0010
Publikováno v:
Meikuang Anquan, Vol 54, Iss 3, Pp 221-225 (2023)
With the rapid development of robot technology and the higher requirements of safe and efficient production in coal mine, underground mechanical and electrical equipment has changed from the traditional manual inspection to the robot inspection with
Externí odkaz:
https://doaj.org/article/c6096afdccf641788af8f4b71ae10c17
Autor:
Afis Asryullah Pratama, Sritrusta Sukaridhoto, Mauridhi Hery Purnomo, Vita Lystianingrum, Rizqi Putri Nourma Budiarti
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 7, Iss 1, Pp 214-220 (2023)
The development of transportation technology is increasing every day; it impacts the number of transportation and their users. The increase positively impacts the economy's growth but also has a negative impact, such as accidents and crime on the hig
Externí odkaz:
https://doaj.org/article/400af5afc0914e6d9c78430cc744aa39
Akademický článek
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Autor:
Hitham Jleed, Martin Bouchard
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 2, Pp 251-270 (2022)
Incremental learning aims to learn new classes if they emerge while maintaining the performance for previously known classes. It acquires useful information from incoming data to update the existing models. Open-set recognition, however, requires the
Externí odkaz:
https://doaj.org/article/b731693ae2d141fbb1e2dec45031cfbc
Autor:
ZHUANG Deyu
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 1, Pp 16-20 (2022)
In order to solve the problems of the existing shearer drum load identification methods, such as difficult implementation of related algorithms, complex engineering implementation mode and high application difficulty, through analyzing the characteri
Externí odkaz:
https://doaj.org/article/b2284312c2fe4e19b3fe79e2cfc2193a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Autor:
Gerard Bota, Robert Manzano-Rubio, Lidia Catalán, Julia Gómez-Catasús, Cristian Pérez-Granados
Publikováno v:
Sensors, Vol 23, Iss 16, p 7176 (2023)
The efficient analyses of sound recordings obtained through passive acoustic monitoring (PAM) might be challenging owing to the vast amount of data collected using such technique. The development of species-specific acoustic recognizers (e.g., throug
Externí odkaz:
https://doaj.org/article/362ef91c79d84a5dade5160ff0810faa
Autor:
Van-Thuan Tran, Wei-Ho Tsai
Publikováno v:
IEEE Access, Vol 8, Pp 75702-75713 (2020)
This work investigates how to detect emergency vehicles such as ambulances, fire engines, and police cars based on their siren sounds. Recognizing that car drivers may sometimes be unaware of the siren warnings from the emergency vehicles, especially
Externí odkaz:
https://doaj.org/article/5080316787ee43de91bdb588704ad98f
Autor:
Hitham Jleed, Martin Bouchard
Publikováno v:
IEEE Access, Vol 8, Pp 146523-146534 (2020)
Most supervised audio recognition systems developed to this point have used a testing set which includes the same categories as the training set database. Such systems are called closed-set recognition (CSR). However, audio recognition in real applic
Externí odkaz:
https://doaj.org/article/28865e84b4734b4cb2c9347d267c7953