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Označevanje besedila ob predvajanju zvočnega posnetka
ID PLUT, DOMINIK (Author), ID Kavčič, Alenka (Mentor) More about this mentor... This link opens in a new window

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Abstract
V Sloveniji poznamo veliko narečij. Spletna aplikacija Interaktivna karta slovenskih narečnih besedil nam s poslušanjem narečnega zvočnega posnetka in prikazom njegove poknjižitve omogoča raziskovanje posebnosti slovenskega jezika. Cilj diplomske naloge je bil nadgraditi aplikacijo tako, da bi se ob predvajanju zvočnega posnetka pokazal položaj v besedilu, kjer se nahajamo, hkrati pa bi bila omogočena izbira besedila, ki ga slišimo. Deluje tudi obratno; izberemo si lahko mesto v zvočnem posnetku, za katerega se nam prikaže ustrezno besedilo. Za enostavnejše urejanje je bil prav tako nadgrajen skrbniški del aplikacije. Oba dela sta bila razvita z uporabo tehnologij HTML, CSS, JavaScript in ogrodjem AngularJS, skrbniški del pa še z jezikom PHP. Aplikacija je tako bolj učinkovita za uporabo in bolj prijazna uporabnikom pri poslušanju posnetkov z narečnim govorom.

Language:Slovenian
Keywords:označevanje besedila, narečni govor, sinhronizacija besedila, transkripcija, poravnava
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2021
PID:20.500.12556/RUL-124842 This link opens in a new window
COBISS.SI-ID:53060611 This link opens in a new window
Publication date in RUL:23.02.2021
Views:702
Downloads:98
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Secondary language

Language:English
Title:Text highlighting during audio playback
Abstract:
In Slovenia, there are many dialects. Discovering the characteristics of different dialects is made possible by the Interactive Map of Slovene Dialect Texts, which displays features of dialects while listening to their sound recordings. The goal of the diploma thesis was to upgrade the application, so that when an audio recording is being played, the position in text is shown and the user can select the text they are listening to, and vice versa, the user can select a position in the audio recording, which displays the corresponding text. The administrative part of the application was also upgraded for easier editing. Both parts were developed using technologies such as HTML, CSS, JavaScript and AngularJS framework, and the administrative part was developed using the PHP scripting language. The application, intended for listening to recordings of Slovene dialects, will now be more efficient and more user-friendly.

Keywords:text highlighting, dialect, text synchronization, transcription, alignment

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