Speech recognition based on classification - word pairs versus a general model

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dc.contributor.advisorSadakata, M.
dc.contributor.advisorKrutwig, J.
dc.contributor.authorHaverkamp, T.
dc.date.issued2016-07-19
dc.description.abstractThe classi cation of a word-pair speci c model versus a gen- eral model is being evaluated. Word-pairs are di cult for non- native speakers and automatic speech recognition to recognize and classify as they are very similar in features. The classi ca- tion is carried out by a toolkit that uses hidden markov models on the audio les. Manual analysis is shown to indicate how di cult speech is to comprehend and how it di ers per person. Signi cant di erences on performance have been found between the general model and the word-pair model carried out by the toolkit.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/2618
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleSpeech recognition based on classification - word pairs versus a general modelen_US
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