Zobrazeno 1 - 10
of 609
pro vyhledávání: '"Stefano Squartini"'
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109146- (2023)
Accurate perception and awareness of the environment surrounding the automobile is a challenge in automotive research. This article presents A3CarScene, a dataset recorded while driving a research vehicle equipped with audio and video sensors on publ
Externí odkaz:
https://doaj.org/article/955b0e510f4346a99967a760424df521
Publikováno v:
IEEE Access, Vol 7, Pp 51982-51993 (2019)
Cry detection is an important facility in both residential and public environments, which can answer to different needs of both private and professional users. In this paper, we investigate the problem of cry detection in professional environments, s
Externí odkaz:
https://doaj.org/article/577c55689caa4792830f87fcd1b0d478
Publikováno v:
Sensors, Vol 22, Iss 12, p 4338 (2022)
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This
Externí odkaz:
https://doaj.org/article/ab1d4bbfecfb41c6854edd367e9bd79d
Publikováno v:
IEEE Transactions on Smart Grid. 14:440-452
Autor:
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2483 (2020)
Audio equalization is an active research topic aiming at improving the audio quality of a loudspeaker system by correcting the overall frequency response using linear filters. The estimation of their coefficients is not an easy task, especially in bi
Externí odkaz:
https://doaj.org/article/19017fb8316d455e9caf295b0efa9bf4
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini, Kaizhu Huang, Xuelong Li, Mufti Mahmud
Publikováno v:
Cognitive computation.
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Energies, Vol 12, Iss 7, p 1371 (2019)
Nowadays, measurement systems strongly rely on the Internet of Things paradigm, and typically involve miniaturized devices on purpose. In these devices, the computational resources and signal acquisition rates are limited in order to preserve battery
Externí odkaz:
https://doaj.org/article/3161053353fc40e19e239cad9564e37c