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LADEA: A Software Infrastructure for Audio Delivery and Analytics

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LADEA: A Software Infrastructure for Audio Delivery and Analytics

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dc.contributor.author Nakamura, Kiyoshy es_ES
dc.contributor.author Hernandez, Daniel es_ES
dc.contributor.author Cecilia-Canales, José María es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author Zennaro, Marco es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.date.accessioned 2022-10-28T10:28:53Z
dc.date.available 2022-10-28T10:28:53Z
dc.date.issued 2021-10 es_ES
dc.identifier.uri http://hdl.handle.net/10251/188906
dc.description.abstract [EN] The LoRa technology enables long distance links with reduced power consumption at low cost, the main limitation being the low bandwidth that it offers. With LoRa, remote locations, like rural areas, can benefit from connectivity based services that would otherwise be impossible. In this work, we describe a LoRa architecture that can include generic external data sources using an MQTT-based interface. We particularly focus on audio sources aiming to two basic services: a voice messaging system that allows users who cannot read or write to send voice notes, and an audio compression service to extract the main features from the audio input to use it for developing intelligent ML-based audio analytics. es_ES
dc.description.sponsorship This work has been partially supported by the Spanish Ministry of Science and Innovation, under the Ramon y Cajal Program (Grant No. RYC2018-025580-I) and under grants RTI2018-096384-B-I00, RTC-2017-6389-5 and RTC2019-007159-5, by the Fundacion Seneca del Centro de Coordinacion de la Investigacion de la Region de Murcia under Project 20813/PI/18, and by the "Conselleria de Educacion, Investigacion, Cultura y Deporte, Direccio General de Ciencia i Investigacio, Proyectos AICO/2020", Spain, under Grant AICO/2020/302. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Mobile Networks and Applications (Online) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject LoRa es_ES
dc.subject MQTT es_ES
dc.subject IoT es_ES
dc.subject Sound analytics es_ES
dc.subject Deep learning es_ES
dc.subject Autoenconder es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title LADEA: A Software Infrastructure for Audio Delivery and Analytics es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11036-021-01747-z es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTC-2017-6389-5//Planificación y gestión de recursos hídricos a partir de análisis de datos de IoT/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//RYC-2018-025580-I//AYUDA ADICIONAL RAMON Y CAJAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//RTC-2019-007159-5//DESARROLLO DE INFRAESTRUCTURAS IOT DE ALTAS PRESTACIONES CONTRA EL CAMBIO CLIMÁTICO BASADAS EN INTELIGENCIA ARTIFICIAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Conselleria d'Educació, Investigació, Cultura i Esport de la Generalitat Valenciana//AICO%2F2020%2F302/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Nakamura, K.; Hernandez, D.; Cecilia-Canales, JM.; Manzoni, P.; Zennaro, M.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM. (2021). LADEA: A Software Infrastructure for Audio Delivery and Analytics. Mobile Networks and Applications (Online). 26(5):2048-2054. https://doi.org/10.1007/s11036-021-01747-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11036-021-01747-z es_ES
dc.description.upvformatpinicio 2048 es_ES
dc.description.upvformatpfin 2054 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 5 es_ES
dc.identifier.eissn 1572-8153 es_ES
dc.relation.pasarela S\436063 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia es_ES
dc.contributor.funder Conselleria d'Educació, Investigació, Cultura i Esport de la Generalitat Valenciana es_ES
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