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Topic Detection from Spoken Speech
Škeřík, Zdeněk ; Szőke, Igor (referee) ; Schwarz, Petr (advisor)
This thesis is about topic detection from spoken speech. The first part of the thesis deals with speech transcription to text. The thesis describes two different solutions of the topic detection - a machine learning based solution and an expert solution that composes a very precise query describing the document topic. Both methods are tested on a set of recordings and compared.
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Linguistic analysis of current speeches
VÁVROVÁ, Kamila
This diploma thesis addresses the issue of spoken speech - it deals with speech by presenters of selected television programmes. The theoretical section discusses the functional style of journalism, summarises current knowledge about the production of speech and the audio aspects of language, while also providing basic information about lexis, syntax and nonverbal communication. The research section focuses on the ways of constructing spoken expressions and a description of linguistic devices at the phonetic-phonological, morphological, syntactic and lexical levels. Non-verbal communication is also evaluated. Expressions are analysed and compared.
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Analysis of the speech profile of David Rath presented by Czech audiovisual media
Švejkovský, Jakub ; Just, Petr (advisor) ; Klabíková Rábová, Tereza (referee)
The aim of this diploma thesis is to analyze the rhetorical profile of one of the most prominent Czech rhetors after the Velvet revolution, physician and politician David Rath. In the theoretical part, the author comprehensively processes the history of public speaking based on the ancient but still current rhetorical tradition of ancient Greece and Rome. Furthermore, the work describes all the specifics defining both the interpersonal communication itself, as well as its individual aspects - specifically, verbal, nonverbal and psychological components, along with persuasive and manipulative techniques. The practical part is co-created by two key aspects - the career and political profile of David Rath and the analysis of his speech. The theoretical basis in combination with the knowledge of the life story of the central speaker forms the basis and context for the analysis of Rath's rhetoric. On carefully selected speeches, the author then examines in detail how the observed rhetor can adapt to various situations across the communication spectrum. The researched findings can then be used for further analyses of a similar focus.
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Children with Specific Language Impairment and Cochlear Implant
Volfová, Markéta ; Hádková, Kateřina (advisor) ; Kotvová, Miroslava (referee)
This diploma thesis deals with specific language impairment as a risk factor of cochlear implantation. This diagnosis may fundamentally disrupt the development of speech after cochlear implantation. The main aim of this work was identification and comparison of used communication systems of persons with cochlear implant and diagnosed with developmental dysphasia. We focused on the morphological-syntactic level of language as a part of verbal level of communication. A qualitative survey was carried out at elementary schools for the hearing impaired. The research sample consisted of five pupils of these schools. Pupils were selected based on their use of the cochlear implant, diagnosed specific language impairment and other factors. Required data was obtained on the basis of observation and through the subtests of the Diagnostics of Language Development test battery. The investigation has revealed that despite cochlear implantation the preferred and more frequently used communication system is sign language. All pupils in the research group are able to communicate through spoken language, but they need to complement and support it by at least some individual elements of the sign language. Morphological- syntactic level of spoken speech was striking for all of the pupils in the research group. Pupils...
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Topic Detection from Spoken Speech
Škeřík, Zdeněk ; Szőke, Igor (referee) ; Schwarz, Petr (advisor)
This thesis is about topic detection from spoken speech. The first part of the thesis deals with speech transcription to text. The thesis describes two different solutions of the topic detection - a machine learning based solution and an expert solution that composes a very precise query describing the document topic. Both methods are tested on a set of recordings and compared.
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