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Development Issues for Speech-Enabled Mobile Applications

dc.contributor.authorKurschl, Werner
dc.contributor.authorMitsch, Stefan
dc.contributor.authorProkop, Rene
dc.contributor.authorSchönböck, Johannes
dc.contributor.editorBleek, Wolf-Gideon
dc.contributor.editorRaasch, Jörg
dc.contributor.editorZüllighoven, Heinz
dc.date.accessioned2019-05-15T09:43:17Z
dc.date.available2019-05-15T09:43:17Z
dc.date.issued2007
dc.description.abstractDeveloping a speech-based application for mobile devices requires work upfront, since mobile devices and speech recognition systems vary dramatically in their capabilities. While mobile devices can concisely be classified by their processing power, memory, operating system and wireless network speed it is a bit trickier for speech recognition engines. This paper presents a comprehensive approach that comprises a profound classification of speech recognition systems for mobile applications and a framework for mobile and distributed speech recognition. The framework called Gulliver speeds up the development process with multi-modal components that can be easily used in a GUI designer and with abstraction layers that support the integration of various speech recognition engines depending on the user’s needs. The framework itself provides the base for a model-driven development approach.en
dc.identifier.isbn978-3-88579-199-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22758
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofSoftware Engineering 2007 – Fachtagung des GI-Fachbereichs Softwaretechnik
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-105
dc.titleDevelopment Issues for Speech-Enabled Mobile Applicationsen
dc.typeText/Conference Paper
gi.citation.endPage168
gi.citation.publisherPlaceBonn
gi.citation.startPage157
gi.conference.date27.-30.03.2007
gi.conference.locationHamburg
gi.conference.sessiontitleRegular Research Papers

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