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dc.contributor.authorLingdell, Mattias
dc.date.accessioned2008-07-03T07:11:05Z
dc.date.available2008-07-03T07:11:05Z
dc.date.issued2008-07-03T07:11:05Z
dc.identifier.urihttp://hdl.handle.net/2077/10546
dc.description.abstractCell phones are excellent candidates for speech recog- nition due to their sometimes cumbersome interface. However, few applications of speech recognition exist, especially for Java ME enabled cell phones. This dearth of speech recognition applications is unfortunate, since there exist several hundred millions Java ME enabled cell phones in the world, making the market and need for such applications huge. This case study investigates the feasibility of embedded, speaker independent speech recognition of connected digits on modern Java ME en- abled cell phones. The developed system is, through a series of optimizations, capable of recognizing con- nected digits in about 11 times real time. Unfortu- nately, this performance is not nearly adequate to make the system practically usable in real world mobile ap- plications that deal with user interaction.en
dc.language.isoengen
dc.relation.ispartofseriesReport/IT University of Göteborgen
dc.relation.ispartofseries2008:062en
dc.titleEmbedded, Speaker Independent Speech Recognition of Connected Digits on Java ME Enabled Cell Phonesen
dc.typeTexteng
dc.setspec.uppsokTechnology
dc.type.uppsokC
dc.contributor.departmentIT-universitetet i Göteborg/Tillämpad informationsteknologiswe
dc.contributor.departmentIT University of Gothenburg /Applied Information Technologyeng
dc.type.degreeKandidatuppsatsswe
dc.type.degreeBachelor thesiseng


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