Zobrazeno 1 - 10
of 228
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:
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:
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
Publikováno v:
Energies, Vol 9, Iss 9, p 665 (2016)
In the last few years, due to the technological improvement of advanced metering infrastructures, water and natural gas grids can be regarded as smart-grids, similarly to power ones. However, considering the number of studies related to the applicati
Externí odkaz:
https://doaj.org/article/29ccbf9dc36a4b7baa1342ffddd6babb
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/19fa64db231a4112852378d0e288f409
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2010 (2010)
One of the big challenges in the field of Automatic Speech Recognition (ASR) consists in developing suitable solutions able to work properly also in adverse acoustic conditions, like in presence of additive noise and/or in reverberant rooms. Recently
Externí odkaz:
https://doaj.org/article/b8763091e15244a7b648aae16988f2c0
Publikováno v:
IEEE Transactions on Smart Grid. 14:440-452
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173331e86ed7efae79b77697c27f57ca
https://doi.org/10.1109/tsg.2022.3191908
https://doi.org/10.1109/tsg.2022.3191908
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).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::224e9413273558809f68b03e61983547
https://doi.org/10.1109/icassp49357.2023.10095961
https://doi.org/10.1109/icassp49357.2023.10095961