Multi-thread Parallel Speech Recognition for Mobile Applications

In this paper, the server based solution of the multi-thread large vocabulary automatic speech recognition engine is described along with the Android OS and HTML5 practical application examples. The basic idea was to bring speech recognition available for full variety of applications for computers a...

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Main Authors: LOJKA Martin, ONDAS Stanislav, PLEVA Matus, JUHAR Jozef
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2014-05-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
Online Access:http://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V7_N1_MAY_2014/Lojka_may2014.pdf
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spelling doaj-f38e9ec3acff42d9bada7bf7af9c4ec92020-11-24T21:02:58ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352067-21282014-05-01718186Multi-thread Parallel Speech Recognition for Mobile ApplicationsLOJKA Martin0ONDAS Stanislav1PLEVA Matus2JUHAR Jozef3Technical University of Kosice, Slovak Republic, Department of Electronics and Multimedia CommunicationsTechnical University of Kosice, Slovak Republic, Department of Electronics and Multimedia CommunicationsTechnical University of Kosice, Slovak Republic, Department of Electronics and Multimedia CommunicationsTechnical University of Kosice, Slovak Republic, Department of Electronics and Multimedia CommunicationsIn this paper, the server based solution of the multi-thread large vocabulary automatic speech recognition engine is described along with the Android OS and HTML5 practical application examples. The basic idea was to bring speech recognition available for full variety of applications for computers and especially for mobile devices. The speech recognition engine should be independent of commercial products and services (where the dictionary could not be modified). Using of third-party services could be also a security and privacy problem in specific applications, when the unsecured audio data could not be sent to uncontrolled environments (voice data transferred to servers around the globe). Using our experience with speech recognition applications, we have been able to construct a multi-thread speech recognition serverbased solution designed for simple applications interface (API) to speech recognition engine modified to specific needs of particular application.http://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V7_N1_MAY_2014/Lojka_may2014.pdfSpeech InterfacesSpeech RecognitionAndroidServer Based Speech Recognition
collection DOAJ
language English
format Article
sources DOAJ
author LOJKA Martin
ONDAS Stanislav
PLEVA Matus
JUHAR Jozef
spellingShingle LOJKA Martin
ONDAS Stanislav
PLEVA Matus
JUHAR Jozef
Multi-thread Parallel Speech Recognition for Mobile Applications
Journal of Electrical and Electronics Engineering
Speech Interfaces
Speech Recognition
Android
Server Based Speech Recognition
author_facet LOJKA Martin
ONDAS Stanislav
PLEVA Matus
JUHAR Jozef
author_sort LOJKA Martin
title Multi-thread Parallel Speech Recognition for Mobile Applications
title_short Multi-thread Parallel Speech Recognition for Mobile Applications
title_full Multi-thread Parallel Speech Recognition for Mobile Applications
title_fullStr Multi-thread Parallel Speech Recognition for Mobile Applications
title_full_unstemmed Multi-thread Parallel Speech Recognition for Mobile Applications
title_sort multi-thread parallel speech recognition for mobile applications
publisher Editura Universităţii din Oradea
series Journal of Electrical and Electronics Engineering
issn 1844-6035
2067-2128
publishDate 2014-05-01
description In this paper, the server based solution of the multi-thread large vocabulary automatic speech recognition engine is described along with the Android OS and HTML5 practical application examples. The basic idea was to bring speech recognition available for full variety of applications for computers and especially for mobile devices. The speech recognition engine should be independent of commercial products and services (where the dictionary could not be modified). Using of third-party services could be also a security and privacy problem in specific applications, when the unsecured audio data could not be sent to uncontrolled environments (voice data transferred to servers around the globe). Using our experience with speech recognition applications, we have been able to construct a multi-thread speech recognition serverbased solution designed for simple applications interface (API) to speech recognition engine modified to specific needs of particular application.
topic Speech Interfaces
Speech Recognition
Android
Server Based Speech Recognition
url http://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V7_N1_MAY_2014/Lojka_may2014.pdf
work_keys_str_mv AT lojkamartin multithreadparallelspeechrecognitionformobileapplications
AT ondasstanislav multithreadparallelspeechrecognitionformobileapplications
AT plevamatus multithreadparallelspeechrecognitionformobileapplications
AT juharjozef multithreadparallelspeechrecognitionformobileapplications
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