dc.creator | Miró Amarante, María Lourdes | es |
dc.creator | Gómez Rodríguez, Francisco de Asís | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.date.accessioned | 2019-07-08T10:48:50Z | |
dc.date.available | 2019-07-08T10:48:50Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Miró Amarante, M.L., Gómez Rodríguez, F.d.A., Jiménez Fernández, Á.F. y Jiménez Moreno, G. (2017). A spiking neural network for real-time Spanish vowel phonemes recognition. Neurocomputing, 226 (february 2107), 249-261. | |
dc.identifier.issn | 0925-2312 | es |
dc.identifier.uri | https://hdl.handle.net/11441/87921 | |
dc.description.abstract | This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking
recognition neural network composed of three types of neurons is proposed. These neurons are based on an
integrative and fire model and are capable of recognizing auditory frequency patterns, such as vowel phonemes;
words are recognized as sequences of vowel phonemes. For demonstrating real-time operation, a complete
spiking recognition neural network has been described in VHDL for detecting certain Spanish words, and it has
been tested in a FPGA platform. This is a stand-alone and fully hardware system that allows to embed it in a
mobile system. To stimulate the network, a spiking digital-filter-based cochlea has been implemented in VHDL.
In the implementation, an Address Event Representation (AER) is used for transmitting information between
neurons. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-02/01 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Neurocomputing, 226 (february 2107), 249-261. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Neuromorphic engineering | es |
dc.subject | Address event representation (AER) | es |
dc.subject | Event-based processing | es |
dc.subject | FPGA | es |
dc.subject | Digital cochlea | es |
dc.subject | Speech recognition | es |
dc.title | A spiking neural network for real-time Spanish vowel phonemes recognition | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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.projectID | TEC2012-37868-C04-02/01 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0925231216314771 | es |
dc.identifier.doi | 10.1016/j.neucom.2016.12.005 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 12 | es |
dc.journaltitle | Neurocomputing | es |
dc.publication.volumen | 226 | es |
dc.publication.issue | february 2107 | es |
dc.publication.initialPage | 249 | es |
dc.publication.endPage | 261 | es |
dc.identifier.sisius | 21022405 | es |