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pro vyhledávání: '"Arnav Kundu"'
Streaming keyword spotting is a widely used solution for activating voice assistants. Deep Neural Networks with Hidden Markov Model (DNN-HMM) based methods have proven to be efficient and widely adopted in this space, primarily because of the ability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bf80e4d2bcb5eb82f993f2522359627
http://arxiv.org/abs/2210.15425
http://arxiv.org/abs/2210.15425
Autor:
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
This paper explores the possibility of using visual object detection techniques for word localization in speech data. Object detection has been thoroughly studied in the contemporary literature for visual data. Noting that an audio can be interpreted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ffa89be6cdc18585cc4b9011c377db
http://arxiv.org/abs/2210.13567
http://arxiv.org/abs/2210.13567
Publikováno v:
ICASSP
Deep Neural Network--Hidden Markov Model (DNN-HMM) based methods have been successfully used for many always-on keyword spotting algorithms that detect a wake word to trigger a device. The DNN predicts the state probabilities of a given speech frame,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbde0e03bb5faa49f0f1e75500ea77f7
Publikováno v:
2019 North American Power Symposium (NAPS).
The electric power grid has evolved immensely with time and the modern power grid is dependent on communication networks for efficient transmission and distribution. Since communication networks are vulnerable to various kinds of cyber attacks it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1644aed2e8f590138d7349599c9ba8ce
https://doi.org/10.1109/naps46351.2019.9000216
https://doi.org/10.1109/naps46351.2019.9000216
Publikováno v:
Electric Power Systems Research. 189:106795
With the influx of more advanced and more connected computing and control devices, the electric power grid has continuously evolved to rely on communication networks for efficient operation and control. A challenge with these new technologies is that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ae8ca52a9dd6d64f6bd418c90995f6
https://doi.org/10.1016/j.epsr.2020.106795
https://doi.org/10.1016/j.epsr.2020.106795
Publikováno v:
2018 Clemson University Power Systems Conference (PSC).
In this paper, we have targeted two appliances, microwave and fridge, from a single house and have built a neural network model to recognize their load status i.e, either ON or OFF. The data-set was obtained online from UK-DALE which contains applian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e2bfd95d5523aa67d4f0bcf67a49366
https://doi.org/10.1109/psc.2018.8664063
https://doi.org/10.1109/psc.2018.8664063
Autor:
Arnav Kundu, K.P. Vittal
Publikováno v:
2016 IEEE 7th Power India International Conference (PIICON).
This paper attempts to present the devising of the Matrix converter and an AC-DC-AC converter along with their working principle and control mechanisms. Both of these converters are AC-AC converters and are primarily used in cases where frequency of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de40204e8b71dfb692c47386254d4d0b
https://doi.org/10.1109/poweri.2016.8077344
https://doi.org/10.1109/poweri.2016.8077344