dc.creator | Rasetto, Marco | es |
dc.creator | Domínguez Morales, Juan Pedro | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Benosman, Ryad B. | es |
dc.date.accessioned | 2022-11-11T08:41:59Z | |
dc.date.available | 2022-11-11T08:41:59Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Rasetto, M., Domínguez Morales, J.P., Jiménez Fernández, Á.F. y Benosman, R.B. (2021). Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition. ArXiv.org, arXiv:2112.07011. https://doi.org/10.48550/arXiv.2112.07011. | |
dc.identifier.uri | https://hdl.handle.net/11441/139290 | |
dc.description.abstract | In recent years tremendous efforts have been done to advance the state of the art for Natural Language
Processing (NLP) and audio recognition. However, these efforts often translated in increased power
consumption and memory requirements for bigger and more complex models. These solutions falls
short of the constraints of IoT devices which need low power, low memory efficient computation,
and therefore they fail to meet the growing demand of efficient edge computing. Neuromorphic
systems have proved to be excellent candidates for low-power low-latency computation in a multitude
of applications. For this reason we present a neuromorphic architecture, capable of unsupervised
auditory feature recognition. We then validate the network on a subset of Google’s Speech Commands
dataset. | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Cornell University | es |
dc.relation.ispartof | ArXiv.org, arXiv:2112.07011. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Event based | es |
dc.subject | Neuromorphic | es |
dc.subject | Natural language processing | es |
dc.title | Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.publisherversion | https://arxiv.org/abs/2112.07011 | es |
dc.identifier.doi | 10.48550/arXiv.2112.07011 | es |
dc.contributor.group | Universidad de Sevilla. TEP108 : Robotica y Tecnología de Computadores | es |
dc.journaltitle | ArXiv.org | es |
dc.publication.issue | arXiv:2112.07011 | es |