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pro vyhledávání: '"Giorgia Dellaferrera"'
Autor:
Giorgia Dellaferrera, Stanisław Woźniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Tasks involving continual learning and adaptation to real-time scenarios remain challenging for artificial neural networks in contrast to real brain. The authors propose here a brain-inspired optimizer based on mechanisms of synaptic integration and
Externí odkaz:
https://doaj.org/article/f8bf7e0f3ba948f99cc4f6e3ddb692c0
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
In natural auditory environments, acoustic signals originate from the temporal superimposition of different sound sources. The problem of inferring individual sources from ambiguous mixtures of sounds is known as blind source decomposition. Experimen
Externí odkaz:
https://doaj.org/article/0fcab581ce854d68a12b060253787446
Publikováno v:
ICASSP
Recent advances in Voice Activity Detection (VAD) are driven by artificial and Recurrent Neural Networks (RNNs), however, using a VAD system in battery-operated devices requires further power efficiency. This can be achieved by neuromorphic hardware,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fb34d086bfcd36616c2fe04a8d66c32