EKIN: Towards Natural Language Interaction with Industrial Production Machines
Autores: Manex Serras María Inés Torres Eneko Ruiz Izaskun Fernández Cristina Aceta Daniel Aguinaga Mikel de la Cruz Iker Altuna Joseba Agirre Iker Etxebeste
Fecha: 22.09.2021
Abstract
The industry and manufacturing sector could greatly benefit from ’hands-free’ voice-based natural language interactions to assist operators across tasks requiring manual operations. However, the complexity of the industrial domain makes it very expensive to develop dialogue systems in this field. Also, the dominant cloud architectures for speech recognition and synthesis pose privacy, security and latency concerns. And for some languages with few resources such as Basque, there is a lack of formalised terminology and language resources for technology development. In this paper, we review the state of the art in this field and describe EKIN, a project which is being carried out to address some of the identified problems.
BIB_text
title = {EKIN: Towards Natural Language Interaction with Industrial Production Machines},
pages = {5-8},
keywds = {
Industry 4.0, Human-Machine Interaction, Basque
}
abstract = {
The industry and manufacturing sector could greatly benefit from ’hands-free’ voice-based natural language interactions to assist operators across tasks requiring manual operations. However, the complexity of the industrial domain makes it very expensive to develop dialogue systems in this field. Also, the dominant cloud architectures for speech recognition and synthesis pose privacy, security and latency concerns. And for some languages with few resources such as Basque, there is a lack of formalised terminology and language resources for technology development. In this paper, we review the state of the art in this field and describe EKIN, a project which is being carried out to address some of the identified problems.
}
date = {2021-09-22},
}
