DSpace@Çankaya

Web Service-Based Turkish Automatic Speech Recognition Platform

Basit öğe kaydını göster

dc.contributor.author Oyucu, Saadin
dc.contributor.author Polat, Hüseyin
dc.contributor.author Sever, Hayri
dc.date.accessioned 2021-06-17T11:51:00Z
dc.date.available 2021-06-17T11:51:00Z
dc.date.issued 2020
dc.identifier.citation Oyucu, Saadin; Polat, Hüseyin; Sever, Hayri. "Web Service-Based Turkish Automatic Speech Recognition Platform", IEEE International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 26-28 June 2020, Ankara, pp. 1-5. tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/4827
dc.description.abstract In response to the similar challenges in building large-scale distributed applications and platforms on the Web, microservice architecture has emerged and gained a lot of popularity in recent years. Therefore, both for the use of microservices and for the provided of the necessary interface for Automatic Speech Recognition (ASR), a web-based platform has been developed. Within firstly the scope of the study, a Turkish ASR system was developed. A web service structure was created to facilitate access to the ASR system. The access of methods and data in the web service structure was provided through Representational State Transfer (REST) web services and service layer. An interface was developed to enable interaction with the web service. The platform was developed using a combination of different technologies such as ASR, web services, microservices, and interface technologies. The developed platform can be used via a standard web browser or an Application Programming Interface (API). In this study, Docker packages were used to improve system performance instead of using different virtual machines on a single server. In the experiments performed, it was shown that the Turkish ASR system had a word error rate of 24.70%. In web service performance tests, it was shown that the platform responded in an average of 9.6 seconds for a 59-second speech recording. The developed user interface was tested in both mobile and desktop web browsers and was shown to function properly. Applications and other services were given access to the platform without the need to use an interface via API support provided by the platform. As a result, a web service-based Turkish ASR platform working seamlessly on the ever-increasing number of mobile devices, the Internet of Things ecosystem, or other access devices was developed. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Automatic Speech Recognition tr_TR
dc.subject ASR tr_TR
dc.subject Web Service tr_TR
dc.subject Microservices tr_TR
dc.subject Web-Based ASR tr_TR
dc.subject Turkish Speech Recognition tr_TR
dc.title Web Service-Based Turkish Automatic Speech Recognition Platform tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal IEEE International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) tr_TR
dc.contributor.authorID 11916 tr_TR
dc.identifier.startpage 1 tr_TR
dc.identifier.endpage 5 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Yazılım Mühendisliği Bölümü tr_TR


Bu öğenin dosyaları:

Dosyalar Boyut Biçim Göster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster